[HTML][HTML] Polyp segmentation with fully convolutional deep neural networks—extended evaluation study
Y Guo, J Bernal, B J. Matuszewski - Journal of Imaging, 2020 - mdpi.com
Analysis of colonoscopy images plays a significant role in early detection of colorectal
cancer. Automated tissue segmentation can be useful for two of the most relevant clinical …
cancer. Automated tissue segmentation can be useful for two of the most relevant clinical …
Active contours driven by the salient edge energy model
In this brief, we present a new indicator, ie, salient edge energy, for guiding a given contour
robustly and precisely toward the object boundary. Specifically, we define the salient edge …
robustly and precisely toward the object boundary. Specifically, we define the salient edge …
[HTML][HTML] Semi-automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance
DA Auger, X Zhong, FH Epstein, EM Meintjes… - Journal of …, 2014 - Springer
Background The most time consuming and limiting step in three dimensional (3D) cine
displacement encoding with stimulated echoes (DENSE) MR image analysis is the …
displacement encoding with stimulated echoes (DENSE) MR image analysis is the …
[HTML][HTML] Effect of myocardial heterogeneity on ventricular electro-mechanical responses: a computational study
Background The heart wall exhibits three layers of different thicknesses: the outer
epicardium, mid-myocardium, and inner endocardium. Among these layers, the mid …
epicardium, mid-myocardium, and inner endocardium. Among these layers, the mid …
Boundary delineation in prostate imaging using active contour segmentation method with interactively defined object regions
Active contour methods are often methods of choice for demanding segmentation problems,
yet segmentation of medical images with complex intensity patterns still remains a challenge …
yet segmentation of medical images with complex intensity patterns still remains a challenge …
Radiomics as applied in precision medicine
Radiomics can be defined as the extraction and analysis of large amounts of advanced
quantitative imaging features with high throughput from medical images obtained with …
quantitative imaging features with high throughput from medical images obtained with …
Improved tagged cardiac MRI myocardium strain analysis by leveraging cine segmentation
M Paknezhad, MS Brown, S Marchesseau - Computer methods and …, 2020 - Elsevier
Background and objectives Tagged MR images provide an effective way for regional
analysis of the myocardium strain. A reliable myocardium strain analysis requires both …
analysis of the myocardium strain. A reliable myocardium strain analysis requires both …
Customized first and second order statistics based operators to support advanced texture analysis of MRI images
Texture analysis is the process of highlighting key characteristics thus providing an
exhaustive and unambiguous mathematical description of any object represented in a digital …
exhaustive and unambiguous mathematical description of any object represented in a digital …
Deep encoder-decoder networks for artefacts segmentation in endoscopy images
YB Guo, Q Zheng, B Matuszewski - 2020 - clok.uclan.ac.uk
Automated analysis of endoscopic images is becoming increasingly significant for an early
detection of numerous cancers and minimally invasive surgical procedures. The paper …
detection of numerous cancers and minimally invasive surgical procedures. The paper …
Automatic vessel lumen segmentation in optical coherence tomography images
KK Mohammed, NM Elfiky, A Darwish… - International …, 2023 - inderscienceonline.com
Automatic vessel lumen segmentation is a very challenging vision task, yet it is extremely
important. Automatic vessel lumen segmentation helps in better diagnostics and therapy of …
important. Automatic vessel lumen segmentation helps in better diagnostics and therapy of …