ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
R Ranjbarzadeh, S Jafarzadeh Ghoushchi… - Artificial Intelligence …, 2023 - Springer
Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …
and treatment services. As different tumors in mammography have dissimilar densities …
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering
O Ramos-Soto, E Rodríguez-Esparza… - Computer Methods and …, 2021 - Elsevier
Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
[HTML][HTML] A U-Net Ensemble for breast lesion segmentation in DCE MRI
J Vidal, JC Vilanova, R Martí - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) has been
recognized as an effective tool for Breast Cancer (BC) diagnosis. Automatic BC analysis …
recognized as an effective tool for Breast Cancer (BC) diagnosis. Automatic BC analysis …
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks
Abstract Nowadays, Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI)
has demonstrated to be a valid complementary diagnostic tool for early detection and …
has demonstrated to be a valid complementary diagnostic tool for early detection and …
Joint-phase attention network for breast cancer segmentation in DCE-MRI
R Huang, Z Xu, Y Xie, H Wu, Z Li, Y Cui, Y Huo… - Expert Systems with …, 2023 - Elsevier
Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an
important role in the screening and treatment evaluation of high-risk breast cancer. The …
important role in the screening and treatment evaluation of high-risk breast cancer. The …
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
This paper presents a method for automatic breast pectoral muscle segmentation in
mediolateral oblique mammograms using a Convolutional Neural Network (CNN) inspired …
mediolateral oblique mammograms using a Convolutional Neural Network (CNN) inspired …
A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease
P Singh - Artificial Intelligence in Medicine, 2020 - Elsevier
Brain MR images are composed of three main regions such as gray matter, white matter and
cerebrospinal fluid. Radiologists and medical practitioners make decisions through …
cerebrospinal fluid. Radiologists and medical practitioners make decisions through …
On segmentation of pectoral muscle in digital mammograms by means of deep learning
H Soleimani, OV Michailovich - IEEE Access, 2020 - ieeexplore.ieee.org
Computer-aided diagnosis (CAD) has long become an integral part of radiological
management of breast disease, facilitating a number of important clinical applications …
management of breast disease, facilitating a number of important clinical applications …
Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project
J Bouaud, S Pelayo, JB Lamy, C Prebet, C Ngo… - Artificial Intelligence in …, 2020 - Elsevier
The DESIREE project has developed a platform offering several complementary therapeutic
decision support modules to improve the quality of care for breast cancer patients. All …
decision support modules to improve the quality of care for breast cancer patients. All …
Automatic MRI breast tumor detection using discrete wavelet transform and support vector machines
AM Ibraheem, KH Rahouma… - 2019 Novel Intelligent …, 2019 - ieeexplore.ieee.org
The human right is to live a healthy life free of serious diseases. Cancer is the most serious
disease facing humans and possibly leading to death. So, a definitive solution must be done …
disease facing humans and possibly leading to death. So, a definitive solution must be done …