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A Hybrid Method for Endocardial Contour Extraction of Right Ventricle in 4-Slices from 3D Echocardiography Dataset
2014
Advances in Bioinformatics
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It has been done by comparing the segmentation results of RV cavity based on endocardial contour extraction with the ground truth. ...
This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases. ...
Ika Faizura (Consultant and Clinical Cardiologists in National Heart Institute, IJN, Malaysia) and Mrs. Norlaila Bt. Danuri (Cardiac Technician in Cardiology Unit, PPUKM ...
doi:10.1155/2014/207149
pmid:25371675
pmcid:PMC4209758
fatcat:m4lvb6ql3zcf7kelqwemxs67rm
Advances in automated tongue diagnosis techniques
2018
Integrative Medicine Research
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various aspects of computerized tongue diagnosis, namely preprocessing, tongue detection, segmentation, feature extraction, tongue analysis, especially in traditional Chinese medicine (TCM). ...
After exploring the algorithms used in tongue diagnosis, the current trend and global requirements in health domain motivates us to propose a conceptual framework for the automated tongue diagnostic system ...
Acknowledgements The research work has been funded by Erasmus Mundus Partnerships Action 2 "FUSION" (Featured eUrope and South asIa mObility Network) project of Erasmus Mundus. ...
doi:10.1016/j.imr.2018.03.001
pmid:30949431
pmcid:PMC6428917
fatcat:6fivofags5be5hjffrua75jany
Automatic lumbar vertebra segmentation from clinical CT for wedge compression fracture diagnosis
2011
Medical Imaging 2011: Computer-Aided Diagnosis
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Since vertebral segmentation is the first step in any automated diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral fracture ...
Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae. ...
ACKNOWLEDGEMENT The authors would like to thank Ruchika Mehresh (Phd Student, CSE, UB) for her help with the manual segmentation of the lumbar CT scans. ...
doi:10.1117/12.878055
dblp:conf/micad/GhoshACD11
fatcat:bhxunz5v3zdodjyikp56cvsam4
Heart chambers and whole heart segmentation techniques: review
2012
Journal of Electronic Imaging (JEI)
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In addition, we describe important clinical applications, imaging modalities, and validation methods used for cardiac segmentation. ...
Computer-aided segmentation of cardiac images obtained by various modalities plays an important role and is a prerequisite for a wide range of cardiac applications by facilitating the delineation of anatomical ...
Model-Fitting Techniques The model-fitting segmentation attempts to match a predefined geometric shape to the locations of the extracted image features of an image. ...
doi:10.1117/1.jei.21.1.010901
fatcat:44rwjcigqbdqzdfj7hiog4mddq
Content-Based Image Retrieval in Radiology: Current Status and Future Directions
2010
Journal of digital imaging
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Diagnostic radiology requires accurate interpretation of complex signals in medical images. ...
KEY WORDS: Content-based image retrieval, imaging informatics, information storage and retrieval, digital image management, decision support From the Electrical and Electronics Engineering Department, ...
Accordingly, as a first step of geometric feature computation, a suitable shape representation should be extracted from the pixel intensity information by region-of-interest detection, segmentation, and ...
doi:10.1007/s10278-010-9290-9
pmid:20376525
pmcid:PMC3056970
fatcat:54efjsvb2vdxhecunbmv7pazei
Cardiac imaging: working towards fully-automated machine analysis & interpretation
2017
Expert Review of Medical Devices
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Expert commentary-Fully-automated processing and high-level computer interpretation of cardiac imaging are becoming a reality. ...
However, with each technological advance, we move further from human dependence and closer to fully-automated machine interpretation. ...
Application of machine learning to cardiac image analysis Several applications of machine learning have been proposed for feature extraction and segmentation of cardiology images. ...
doi:10.1080/17434440.2017.1300057
pmid:28277804
pmcid:PMC5450918
fatcat:u2sta7rplbcd5nj54ao2nhgliu
Retinal Image Segmentation by using Gradient Descent Method
2014
International Journal of Computer Applications
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Localization and segmentation are important task in medical image analysis. As we know detection of optic nerves is also a major problem in automated retinal image analysis system. ...
Image segmentation of medical image is very complex and crucial step, in this series segmentation of retinal image is more complex in comparison of others. ...
The results from the SPF method were compared with conventional optic disk detection using an active contour model (ACM) and later verified with hand-drawn ground truth. ...
doi:10.5120/15018-3306
fatcat:hnccmlnc2bdcthblkwute7wud4
Extraction and Visualization of Ocular Blood Vessels in 3D Medical Images Based on Geometric Transformation Algorithm
2021
Journal of Healthcare Engineering
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Data extraction and visualization of 3D medical images of ocular blood vessels are performed by geometric transformation algorithm, which first performs random resonance response in a global sense to achieve ...
The new method not only makes full use of the noise for weak signal detection and segmentation but also provides a new idea of how to achieve multilevel segmentation and recognition of medical images. ...
model is used as a preprocessing step that may enhance the features of its segmented images, which can save segmentation time on the one hand and improve the segmentation accuracy on the other hand. ...
doi:10.1155/2021/5573381
doaj:badcf56707244c63bd8fe0b5fcf031a3
fatcat:f45wcy3uq5bg3dkavg7xsvme74
Health Evaluation Device Using Tongue Analysis Based on Sequential Image Analysis
2019
International Journal of Advanced Trends in Computer Science and Engineering
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Its system framework comprises of: (1) image acquisition (2) image segmentation; (3) body and coat segmentation; (4) color classification and; (5) neural network. ...
the patient is suffering from. ...
Images below are taken by the employed lighting system.
Image Segmentation One major concern in an automated tongue analysis is when the tongue body is automatically segmented from its background. ...
doi:10.30534/ijatcse/2019/19832019
fatcat:tiayeqr6dzgptjvq5jhp7qlody
Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling
2008
Behavior Research Methods
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Writing and drawing tests are widely used in the clinical environment for the diagnosis of a variety of neuropsychological conditions. ...
This article describes the development of a computer-based framework for data capture, automated feature analysis, and result reporting for a range of drawing-and writing-based test batteries. ...
Figure 3 shows examples of geometric shapes drawn by neglect and asymptomatic patients. The omission of key components of the square and the cross is evident in the neglect responses. ...
doi:10.3758/brm.40.1.290
pmid:18411552
fatcat:fsrjwfjr7japdaqywcmjtxqwli
Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps
[chapter]
2005
Lecture Notes in Computer Science
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The salient features that characterize the heart electrical activity, and visually correspond to specific geometric patterns, are defined, extracted from the epicardial electrical data, and finally made ...
The Spatial Aggregation (SA) approach can play a crucial role in the identification of patterns and salient features in the map, and in the long-term goal of delivering an automated map interpretation ...
However, its introduction into the clinical practice is not yet at hand because the ability to both extract salient visual features from electrocardiographic maps and relate them to the underlying complex ...
doi:10.1007/11527770_45
fatcat:zxsuud4gdrc6phl3ulcekkcmay
Deep negative volume segmentation
2021
Scientific Reports
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For instance, automation of the segmentation task of the TMJ (temporomandibular joint) has been hindered by its compound three-dimensional shape, multiple overlaid textures, an abundance of surrounding ...
the entire framework for clinical adoption. ...
Acknowledgements Control of volume inflation and the optimization routine were developed under the support of the Russian Foundation for Basic Research, grant#21-51-12012. ...
doi:10.1038/s41598-021-95526-1
pmid:34381093
pmcid:PMC8357924
fatcat:t7bkwvkaovbljcz62fn3yaysdu
A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography
[chapter]
2011
Image Segmentation
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Model-fitting methods: These approaches usually fits a simple geometric shape such as an ellipse or parabola to the locations of extracted image features in an image (Pathak et al., 1998) . ...
In particular, medical image segmentation extracts meaningful information and facilitate the display of this information in a clinically relevant way. ...
doi:10.5772/15833
fatcat:z5au7rekmrgkjhfzd7kpyl35ja
Determination of Osteoarthritis Using Histogram of Oriented Gradients and Multiclass SVM
2017
International Journal of Image Graphics and Signal Processing
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Osteoarthritis is regularly investigated from radiographic evaluation after clinical examination. ...
Subsequently, in order to make diagnostic process more systematic and reliable, evolution of imaging based analysis for early recognition of Osteoarthritis is required. ...
Any vague conclusion drawn from X-ray images of Osteoarthritis makes treatment troublesome and defective. ...
doi:10.5815/ijigsp.2017.12.05
fatcat:tz7udaxkmzfavh3735f2u5kmom
Intelligent Screening Systems for Cervical Cancer
2014
The Scientific World Journal
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Advent of medical image digitalization leads to image processing and computer-aided diagnosis systems in numerous clinical applications. ...
Four stages of the computer system are enhancement, features extraction, feature selection, and classification reviewed in detail. ...
Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgment ...
doi:10.1155/2014/810368
pmid:24955419
pmcid:PMC4037632
fatcat:yzsg5kze6fadjpyfgiosecp52m
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