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Machine Learning-Based Computed Tomography Texture Analysis of Lytic Bone Lesions Needing Biopsy: A Preliminary Study
2021
Istanbul Medical Journal
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After evaluating unenhanced CT images, a total of 744 texture features were obtained. Reproducibility analysis and feature selection were used for dimension reduction. ...
This study aimed to evaluate the use of machine learning (ML)based computed tomography (CT) texture analysis to determine benign and malignant behaviors of lytic bone lesions needing a biopsy. ...
Financial Disclosure: The authors declared that this study received no financial support. ...
doi:10.4274/imj.galenos.2021.87528
fatcat:7tiecc24frhppfcrllypifyx5q
Computed Tomography Texture Analysis of Carotid Plaque as Predictor of Unfavorable Outcome after Carotid Artery Stenting: A Preliminary Study
2021
Diagnostics
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The predictive model for unfavorable outcome including CTA textural features outperformed the model without textural features (AUC 0.789 vs 0.695, p = 0.004). ...
In patients with stenotic carotid plaque, kurtosis derived by CTA density histogram analysis is an independent predictor of unfavorable outcome after CAS. ...
Since CTA is less operator-dependent and carries fewer limitations than US for texture analysis, we designed this preliminary study to assess the potential role of carotid plaque texture analysis at CTA ...
doi:10.3390/diagnostics11122214
pmid:34943451
pmcid:PMC8699962
fatcat:5uohtrhyhnhtpo7vm3pitsd5mi
A Comparative Study of Testing Parameters of Medical Images Processing
2017
International Journal of Signal Processing, Image Processing and Pattern Recognition
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Medical imaging is a technique or a process that is used in the visualization of body tissues, parts or organs for the usage in clinical analysis, treatment and disease monitoring. ...
So this paper presents the comparative study of testing or the quality parameters of the medical image processing that should be check in order to extract the exact information of an image. ...
uniformity assessment in diagnostic ultrasound imaging. ...
doi:10.14257/ijsip.2017.10.1.24
fatcat:onmgrrv3vjexbnarbbf5bjy32e
Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization
2013
Computer Methods and Programs in Biomedicine
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Each analyzed ultrasound image yields on SACI number. A high SACI value indicates that the image shows symptomatic and low value indicates asymptomatic plaques. ...
In this study, we compare support vector machine (SVM) classifiers with different kernels. ...
Structural texture analysis is more complex when compared to the statistical approach [22] , because it studies the symbolic descriptions of the image. ...
doi:10.1016/j.cmpb.2012.09.008
pmid:23122720
fatcat:anre4q34qjho5nugjus3qxjrfu
An Extensive Review of Significant Researches on Medical Image Denoising Techniques
2013
International Journal of Computer Applications
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In addition, a brief description on the digital images and medical images is presented. A concise note on Radiography, Ultrasound, MRI and CT images is also presented. ...
In this day and age, digital images play a significant role in our day-to-day life. Digital images are utilized in a wide range of fields like medical, business and more. ...
Based on texture analysis, image quality evaluation metrics, and visual evaluation, Christos Loizou et al. ...
doi:10.5120/10699-1551
fatcat:qq7ijy7r7zdhnesrdjow7ucsxq
Automated Segmentation of Abnormal Tissues in Medical Images
2019
Journal of Biomedical Physics and Engineering
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As a result, automated segmentation of abnormal tissue is a need. In this study, representative techniques for segmentation of abnormal tissues are reviewed. ...
Segmentation is a preliminary step for these measurements and also further analysis. Manual segmentation of abnormalities is cumbersome, error prone, and subjective. ...
An important analysis based on digital medical images is the study of abnormal tissues both in diagnostic and follow-up sessions. ...
doi:10.31661/jbpe.v0i0.958
pmid:34458189
pmcid:PMC8385212
fatcat:h2z2oykmsvhdnbffcqo5nhcm34
Ultrasound Image Analysis of the Carotid Artery
2005
Zenodo
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A total of 11 despeckle filtering methods were evaluated based on texture analysis, image quality evaluation metrics, and visual evaluation made by two experts, on 440 ultrasound images of the carotid ...
The objective of this work was to carry out a comparative evaluation of despeckle filtering on ultrasound images of the carotid artery, and develop a new segmentation system, for detecting the IMT of the ...
There is no other study reported in the literature, where texture analysis (Table 6 .5- Table 6 .7) was used to the extent, that is used in our study, to evaluate despeckle filtering in ultrasound imaging ...
doi:10.5281/zenodo.2592442
fatcat:cijau57s5fckblbu6ytdrcgxbq
Subjective and objective evaluations of feature selected multi output filter for speckle reduction on ultrasound images
2018
Physics in Medicine and Biology
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Finally, the correlation between three objective metrics and the perceived quality of contrast, diagnostic, texture and edges show that an objective metric is suitable for assessing quality of ultrasound ...
The results of objective metrics and subjective evaluation showed that the proposed method reduces speckle and could help radiologists, according to their years of experience, in the diagnostic task. ...
In this last study about statistics of speckle in ultrasound, the authors point out that the texture in the image of parenchymal tissue could be viewed either as image signal or undesirable noise ?. ...
doi:10.1088/1361-6560/aadbc9
pmid:30129565
fatcat:hmi7eh4ypvgghgtrm7jzxh3qwm
The value of the computer-aided diagnosis system for thyroid lesions based on computed tomography images
2019
Quantitative Imaging in Medicine and Surgery
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In thyroid cancer identification based on a computed tomography image, we found the system using 17 texture features and support vector machine performed well. ...
The major challenge is the differential diagnosis of benign or malignant thyroid nodules, so we aim to develop the computer-assisted diagnostic method based on computed tomography (CT) images for thyroid ...
In this preliminary study, we proposed the CAD systems to evaluate the thyroid nodules based on CT image analysis, selected the CT image features to improve the performance, and evaluated the CAD systems ...
doi:10.21037/qims.2019.04.01
pmid:31143655
pmcid:PMC6511723
fatcat:36ejeg3i4bc3poq7hmho26ncyi
A Review of Wavelet Denoising in MRI and Ultrasound Brain Imaging
2006
Current Medical Imaging Reviews
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A review of wavelet denoising in MRI and ultrasound brain imaging. Current medical imaging reviews, 2(2), 247-260. ...
Due to its non-invasive nature and easily portable devices, ultrasound imaging is the main imaging modality that is nowadays used for the diagnostics and clinical studies of this brain disease. ...
-For an experienced radiologist, speckle noise, which is in the medical literature also referred to as "texture" [39] , may present useful diagnostic information [49, 50] . ...
doi:10.2174/157340506776930665
fatcat:oi34n7qtcrdopc3imyj6ymnthy
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy
2021
BMC Medical Imaging
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A total of 180 dimensional features were designed and extracted from the renal parenchyma in the ultrasound images. ...
Radiomics analysis, a non-invasive method, is helpful for histological classification of glomerulopathy. ...
In this study, we verified the feasibility of histological classification with ultrasound images and provided an alternative diagnostic technique. ...
doi:10.1186/s12880-021-00647-8
pmid:34301205
pmcid:PMC8305820
fatcat:j5qwoislsvbz5d7slzfsfsodha
Computation of the Texture Features on T2-Weighted Images as a Novel Method to Assess the Function of the Transplanted Kidney: Primary Research
2020
Transplantation Proceedings
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For analysis, we used 9 retrospective examinations in patients with a transplanted kidney. All patients underwent a diagnostic magnetic resonance imaging (MRI) scan, including T2-weighted images. ...
This preliminary study aims to find a statistical difference between texture features in transplanted kidneys with different placement of region of interest (ROI). ...
MATERIAL AND METHODS For analysis, we used retrospective examinations in 9 patients with a transplanted kidney. All patients underwent a diagnostic MRI scan, including T2-weighted images [7] . ...
doi:10.1016/j.transproceed.2020.02.084
pmid:32253002
fatcat:lfd26ohf3zeczo5aaas3ia2gq4
Texture analysis of optical coherence tomography images: feasibility for tissue classification
2003
Journal of Biomedical Optics
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We evaluated the application of statistical and spectral texture analysis techniques for differentiating tissue types based on the structural and speckle content in OCT images. ...
This study shows that texture analysis of OCT images may be capable of differentiating tissue types without reliance on visible structures. ...
Xianfeng Li for his texture analysis contributions to our lab. ...
doi:10.1117/1.1577575
pmid:12880366
fatcat:ixtkonujxrgs3fnm7seehby2nm
Segmentation Methods of Echocardiography Images for Left Ventricle Boundary Detection
2015
Journal of Computer Science
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and critically review recent approaches in terms of their performance and degree of clinical evaluation with respect to the final goal of cardiac functional analysis. ...
Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. ...
Authors' Contributions All authors have made substantial contributions to conception and design, data acquisition, analysis and interpretation of the data. ...
doi:10.3844/jcssp.2015.957.970
fatcat:hivb6v4ydvdxbfp5rhd4wuljo4
A deep learning model for burn depth classification using ultrasound imaging
2021
Journal of The Mechanical Behavior of Biomedical Materials
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2022 pre-print arXiv:2203.15879v1 fatcat:32gq5mnw2vbxfcluuxnklfkuue
A post hoc explanation indicates that the classifier activates the discriminative textural features in the B-mode images for burn classification. ...
This paper presents a deep convolutional neural network to classify burn depth based on altered tissue morphology of burned skin manifested as texture patterns in the ultrasound images. ...
We propose a deep learning model for the objective evaluation of burn depth using ultrasound imaging modality. ...
doi:10.1016/j.jmbbm.2021.104930
pmid:34781225
fatcat:gebmbi6uyfcilpohyq5wurrlvy
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