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Retinal vessel feature extraction from fundus image using image processing techniques

R. Lavanya, G. K. Rajini, G. Vidhya Sagar
<span title="2018-05-08">2018</span> <i title="Science Publishing Corporation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering &amp; Technology</a> </i> &nbsp;
Morphological processing is used to detect the shape of blood vessels as they are nonlinear in nature.Results: Image features like, Mean and Standard deviation and entropy, for textural analysis of image  ...  Retinal Vessel detection for retinal images play crucial role in medical field for proper diagnosis and treatment of various diseases like diabetic retinopathy, hypertensive retinopathy etc.  ...  R = 1 − 1 1−σ 2 (3) Entropy: Entropy is a statistical measure of randomness used to characterize the texture of an image. ħ = −Σ k=0 i−1 p k (log 2 p k ) (4) Contrast: Contrast is a measure of intensity  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i2.8892">doi:10.14419/ijet.v7i2.8892</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hb7ejwu2pngh5j25qudkmiigsq">fatcat:hb7ejwu2pngh5j25qudkmiigsq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200212190441/https://www.sciencepubco.com/index.php/ijet/article/download/8892/5018" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/9e/9d9e54706dbb69fbfe239e6075fdfeb5e68c9da0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i2.8892"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Assessment of Early Hypertensive Retinopathy using Fractal Analysis of Retinal Fundus Image

Wiharto Wiharto, Esti Suryani, Muhammad Yahya Kipti
<span title="2018-02-01">2018</span> <i title="Universitas Ahmad Dahlan"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/avuzjspx3nh5lboz3nsmpd3ba4" style="color: black;">TELKOMNIKA (Telecommunication Computing Electronics and Control)</a> </i> &nbsp;
This study proposes a method for the early detection of disease hypertensive retinopathy using the fractal analysis approach fundus retinal image.  ...  Hypertensive retinopathy is characterized b y changes in retinal vessels, a change known as tortuosity.  ...  The model of the early detection system of proposed hypertensive retinopathy has better performance compared with a number of studies using AVR parameters, as shown in Table 5 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12928/telkomnika.v16i1.6188">doi:10.12928/telkomnika.v16i1.6188</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/34t5chxxqvbirjv5hvbhsyiaxu">fatcat:34t5chxxqvbirjv5hvbhsyiaxu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180417105803/http://journal.uad.ac.id/index.php/TELKOMNIKA/article/viewFile/6188/pdf_621" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/bb/38bbc4866cb555b7fe2bf680a5756846491aabdf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12928/telkomnika.v16i1.6188"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automated Diagnosis Non-proliferative Diabetic Retinopathy in Fundus Images using Support Vector Machine

Raju Sahebrao, Sangramsing N., Sandip T., Mukta Dhopeshwarkar
<span title="2015-09-17">2015</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Using Image pre-processing, morphological processing techniques involves processing of fundus images for detect features, such as blood vessel area, exudates, microaneurysms, hemorrhages, and texture.  ...  We have proposed a computer based method for the detection of diabetic retinopathy using the fundus images.  ...  Detection of blood vessels The detection of the blood vessels was implemented using the morphological opening process to that proposed in the blood vessels have a linear feature.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2015905968">doi:10.5120/ijca2015905968</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mozvhnz4krborantxzlxgqjao4">fatcat:mozvhnz4krborantxzlxgqjao4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921210331/http://www.ijcaonline.org/research/volume125/number15/maher-2015-ijca-905968.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/d0/93d0c2dd4faa0302413e0800c1078f96acaa0b53.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2015905968"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Early Detection of Diabetic Retinopathy through Machine Learning Techniques

<span title="2019-12-14">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
Diabetic Retinopathy (DR) is progressive syndrome that leads to loss of vision if not detected and treated. Retina is inner tunic of the eyeball which is capillary and delicate transparent membrane.  ...  These features can be combined with hypertension to predict other disorders like stroke, chronic heart disease, renal dysfunction, cardiovascular mortality and so on which overcome the need of other preliminary  ...  Fundus images are the source for diagnosis of many vascular disorders of retina namely Retinal occlusions, Diabetic Retinopathy (DR), Hypertensive Retinopathy, Retinopathy of prematurity, Cardio vascular  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.b1112.1292s19">doi:10.35940/ijitee.b1112.1292s19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/djotymnppzcd3gp6xxjf5suisi">fatcat:djotymnppzcd3gp6xxjf5suisi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220303150851/https://www.ijitee.org/wp-content/uploads/papers/v9i2S/B11121292S19.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/52/c1526584bf462d19914532195dba74c2cde44158.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.b1112.1292s19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Adaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus Images

Kavitha
<span title="2011-07-01">2011</span> <i title="Science Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wake4w3hqzd4ndiy2zowpciv64" style="color: black;">Journal of Computer Science</a> </i> &nbsp;
Approach: An integrated approach for extraction of blood vessels and exudates detection was proposed to screen diabetic retinopathy.  ...  Feature extraction was performed on the preprocessed fundus images. Structure of Blood vessels was extracted using Multiscale analysis.  ...  Feature extraction : extraction Features extracted are wall to Lumen ratio of retinal arterioles in blood vessels, Area of exudates, textural and Homogeneity properties.Multiscale blood vessel extraction  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2011.1020.1026">doi:10.3844/jcssp.2011.1020.1026</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eea6uns5pncixdweipngb7myqa">fatcat:eea6uns5pncixdweipngb7myqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830080307/http://thescipub.com/PDF/jcssp.2011.1020.1026.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/eb/ebeb07873939446e049514e630376bd82653a5c4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2011.1020.1026"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

DESIGN AND DEVELOP A COMPUTER AIDED DESIGN FOR AUTOMATIC EXUDATES DETECTION FOR DIABETIC RETINOPATHY SCREENING

C.A SATHIYAMOORTHY, G KULANTHAIVEL
<span title="">2015</span> <i title="Sathyabama University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3qz3toyvmjcvtlt3ggv6z3kxgm" style="color: black;">International Journal on Intelligent Electronic Systems</a> </i> &nbsp;
In the Existing systems, a Fuzzy c-Means Clustering techniques is used for detecting the exudates. The main objective of this paper is efficiently detecting the Exudates.  ...  Diabetic Retinopathy is a severe and widely spreadeye disease which can lead to blindness where one of the main symptoms for vision loss is Exudates and it could be prevented by applying an early screening  ...  Entropy is a statistical measure of randomness that can be used to characterize the texture of the retinal image. (c) Kurtosis: Kurtosis is a descriptor of the shape of a probability distribution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18000/ijies.30143">doi:10.18000/ijies.30143</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v2dczdxrqvgmtmybcesrgcvqri">fatcat:v2dczdxrqvgmtmybcesrgcvqri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721075026/http://www.journals-sathyabama.com/archives/ies/vol9-no1-Jan2015-int-elec-5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/6a/676a24fa8800890ac106ead934045bad4c18ca86.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18000/ijies.30143"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Detection of Exudates on Color Fundus Images using Texture Based Feature Extraction

Hanung Adi Nugroho, KZ Widhia Oktoeberza, Teguh Bharata Adji, Faisal Najamuddin
<span title="2015-04-30">2015</span> <i title="International Journal of Technology"> International Journal of Technology </i> &nbsp;
Feature extraction based on texture is conducted using a gray-level co-occurrence matrix (GLCM) and lacunarity.  ...  This paper proposes texture-based extraction of features from retinal images for distinguishing exudates from non-exudates.  ...  Lacunarity is a fractal measurement that can be used to obtain textural features (Kadir & Susanto, 2012) , and is defined in Equations 6-8.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14716/ijtech.v6i2.958">doi:10.14716/ijtech.v6i2.958</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2exv3u3ai5ctnbcq24ukyl64ke">fatcat:2exv3u3ai5ctnbcq24ukyl64ke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721232716/http://www.ijtech.eng.ui.ac.id/old/index.php/journal/article/download/958/243" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a9/e9/a9e92d4fa7c6fd4c3b91ff5aedb9acd263d28a67.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14716/ijtech.v6i2.958"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics

Muhammad Mateen, Junhao Wen, Mehdi Hassan, Nasrullah Nasrullah, Song Sun, Shaukat Hayat
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
used to perform an imperative role in the area of ophthalmology and specifically in the early detection of diabetic retinopathy over the traditional detection approaches.  ...  This paper presents a detailed review of the detection of DR with three major aspects; retinal datasets, DR detection methods, and performance evaluation metrics.  ...  [127] presented a classification of glaucoma on the basis of texture features using CNN. The texture features included optic cup which helped for the detection and classification of glaucoma.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2980055">doi:10.1109/access.2020.2980055</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7gbkdxwyonb5bnao3yhs4us7sm">fatcat:7gbkdxwyonb5bnao3yhs4us7sm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200318143629/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09032162.pdf?tp=&amp;arnumber=9032162&amp;isnumber=8948470&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/5f/6f5f5cafd01f09af7ff998fac0ccc992493b0b4f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2980055"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Performance Analysis of Hybrid SOM and AdaBoost Classifiers for Diagnosis of Hypertensive Retinopathy

Wiharto Wiharto, Esti Suryani, Murdoko Susilo
<span title="2021-05-22">2021</span> <i title="CMV Verlag"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/soi6nhsq4bc7dnadwqwlisjrjq" style="color: black;">Journal of Information Systems and Telecommunication</a> </i> &nbsp;
The diagnosis of hypertensive retinopathy (CAD-RH) can be made by observing the tortuosity of the retinal vessels.  ...  Tortuosity is a feature that is able to show the characteristics of normal or abnormal blood vessels.  ...  We also say thank you to the number of parties who have helped us complete the research that we did.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.52547/jist.9.34.79">doi:10.52547/jist.9.34.79</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q5niqjye5je6bbxw6bp5dnvtsa">fatcat:q5niqjye5je6bbxw6bp5dnvtsa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716005846/http://jist.ir/Article/Download/15670" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/33/f9/33f9b743c7e6fe2cf5cebe8f51195051a472c5cf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.52547/jist.9.34.79"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

An Image Analysis System for the Assessment of Retinal Microcirculation in Hypertension and Its Clinical Evaluation [chapter]

X. Zabulis, A. Triantafyllou, P. Karamaounas, C. Zamboulis, S. Douma
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/in3ywkywfrhzfn7uxh644qe2tq" style="color: black;">International Federation for Medical and Biological Engineering Proceedings</a> </i> &nbsp;
A system for the assessment of hypertension through the measurement of retinal vessels in fundoscopy images, is presented.  ...  Automating the measurement process enables the conduct of a clinical study that, for the first time, shows the correlation between macrovascular and microvascular alterations, based on numerous measurements  ...  ACKNOWLEDGMENTS This work was supported by the FORTH-ICS internal RTD Programme "Ambient Intelligence and Smart Environments".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-00846-2_82">doi:10.1007/978-3-319-00846-2_82</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x3sev5i2dzak7omap7w4lyp2e4">fatcat:x3sev5i2dzak7omap7w4lyp2e4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922223157/http://users.ics.forth.gr/~zabulis/Medicon2013_Proceedings.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e2/72/e272090a2c0a78a0ed2e44b254591afc9907ec0c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-00846-2_82"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Gaussian Kernel Prompted Fuzzy C Means Algorithm with Multi- Object Contouring Method for Segmenting NPDR Features in Diabetic Retinopathy Fundus Images

Shalini R, Sasikala S
<span title="2019-12-23">2019</span> <i title="Global Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/542on37ucff2rdhw5vw2shqsby" style="color: black;">Global Journal of Science Frontier Research</a> </i> &nbsp;
NPDR features are present in the earliest stage and systematic detection of these features can improve the diagnosis of the disease severity formerly.  ...  The objective of this study is detecting NPDR features from diabetic retinaopathy fundus images of large datasets with good performance level.  ...  The first feature Blood Vessel is detected using the binarized contour tracing (BCT) method and the second feature Optic disc is detected using BINI Thresholding are shown in column 3.3 and 3.4 which is  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34257/gjsfrfvol19is5pg1">doi:10.34257/gjsfrfvol19is5pg1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qsd2fwbrorhbjonxnhrjjfsvpu">fatcat:qsd2fwbrorhbjonxnhrjjfsvpu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191229011625/https://journalofscience.org/index.php/GJSFR/article/download/2566/2427" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/16/4616ea8545ca15403dcf5c1f5572b4b491a1a7da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34257/gjsfrfvol19is5pg1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Classification of Diabetes Retina Images Using Blood Vessel Area

Jadhav A.S, Pushpa B. Patil
<span title="2015-04-30">2015</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> International Journal on Cybernetics &amp; Informatics </i> &nbsp;
In this work the fundus RGB image is used for obtaining the traces of blood vessels and areas of blood vessels are used for detection of Diabetic Retinopathy (DR).  ...  Manifestations of numerous vascular disorders, such as diabetic retinopathy, depend on detection of the blood vessels network.  ...  [8] presented computerized detection of diabetic Retinopathy for early diagnosis using feature extraction and support vector machines.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijci.2015.4224">doi:10.5121/ijci.2015.4224</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eie3wbhlcbaznicxe6tihkuw6a">fatcat:eie3wbhlcbaznicxe6tihkuw6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603002909/http://www.airccse.org/journal/ijci/papers/4215ijci24.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e6/ee/e6eeda61bb24e701056c0f0b80549db9687c2fbd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijci.2015.4224"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images

Sayed Mehran Sharafi, Jean-Philippe Sylvestre, Claudia Chevrefils, Jean-Paul Soucy, Sylvain Beaulieu, Tharick A. Pascoal, Jean Daniel Arbour, Marc-André Rhéaume, Alain Robillard, Céline Chayer, Pedro Rosa-Neto, Sulantha S. Mathotaarachchi (+3 others)
<span title="2019-10-14">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jjcnjbdwyvh6ldk6ktztp7xihy" style="color: black;">Alzheimer s &amp; Dementia Translational Research &amp; Clinical Interventions</a> </i> &nbsp;
Image features from the hyperspectral retinal images were calculated, including vessels tortuosity and diameter and spatial-spectral texture measures in different retinal anatomical regions.  ...  This study suggests that the inclusion of metrics related to the retinal vasculature and tissue-related textures extracted from vessels and surrounding regions could improve the discrimination performance  ...  We therefore used a combination of vasculature features and texture measures to classify Ab1 and Ab2 subjects using an SVM classifier.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.trci.2019.09.006">doi:10.1016/j.trci.2019.09.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31650017">pmid:31650017</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6804547/">pmcid:PMC6804547</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bx4moh3dqvc4vp7hapbymmtar4">fatcat:bx4moh3dqvc4vp7hapbymmtar4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200429223746/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6804547&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/cd/76cd1659270f48b357f887c4a501a6f86370f497.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.trci.2019.09.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804547" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Blood Vessel Segmentation from Color Retinal Images using Unsupervised Texture Classification

Alauddin Bhuiyan, Baikunth Nath, Joselito Chua, Ramamohanarao Kotagiri
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/anlh4tvwprcrtoxv5d4h6a7rye" style="color: black;">2007 IEEE International Conference on Image Processing</a> </i> &nbsp;
A bank of Gabor energy filters are used to analyze the texture features from which a feature vector is constructed for each pixel.  ...  We use Gaussian and L * a * b * perceptually uniform color spaces with original RGB for texture feature extraction on retinal images.  ...  V -522 TEXTURE FEATURES EXTRACTION Texture generally describes second order property of surfaces and scenes, measured over image intensities.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2007.4379880">doi:10.1109/icip.2007.4379880</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icip/BhuiyanNCR07.html">dblp:conf/icip/BhuiyanNCR07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/thxrxwcqlfdbplwdrrsaaw3boi">fatcat:thxrxwcqlfdbplwdrrsaaw3boi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829075939/http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICIP_2007/pdfs/0500521.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/42/db/42db9b0ccec6eb6dbde9a5b3e203bc3016b252e7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2007.4379880"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Novel Filtered Segmentation-Based Bayesian Deep Neural Network Framework on Large Diabetic Retinopathy Databases

Shaik Akbar, Divya Midhunchakkaravarthy
<span title="2020-12-31">2020</span> <i title="International Information and Engineering Technology Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x6c3xwfadnbefpfn6owxdu3o2y" style="color: black;">Revue d&#39;intelligence artificielle : Revue des Sciences et Technologies de l&#39;Information</a> </i> &nbsp;
Image thresholding-based segmentation models play a vital role in the detection of Diabetic retinopathy (DR) on large databases.  ...  Most of the conventional segmentation-based classification models are independent of over segmented regions and outliers.  ...  Diabetic retinopathy with accuracy by 94 per cent is detected using the extracted features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18280/ria.340602">doi:10.18280/ria.340602</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kpi7n6r4l5h6pmozels2esx5ku">fatcat:kpi7n6r4l5h6pmozels2esx5ku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427073714/http://www.iieta.org/download/file/fid/48037" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/73/6973decfaa00312eca440a503a53bb83d7ee7824.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18280/ria.340602"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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