Survey of deep learning in breast cancer image analysis
TG Debelee, F Schwenker, A Ibenthal, D Yohannes - Evolving Systems, 2020 - Springer
Computer-aided image analysis for better understanding of images has been time-honored
approaches in the medical computing field. In the conventional machine learning approach …
approaches in the medical computing field. In the conventional machine learning approach …
Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
Purpose Automated segmentation of breast and fibroglandular tissue (FGT) is required for
various computer‐aided applications of breast MRI. Traditional image analysis and …
various computer‐aided applications of breast MRI. Traditional image analysis and …
Self-supervised multi-modal hybrid fusion network for brain tumor segmentation
Accurate medical image segmentation of brain tumors is necessary for the diagnosing,
monitoring, and treating disease. In recent years, with the gradual emergence of multi …
monitoring, and treating disease. In recent years, with the gradual emergence of multi …
A systematic review on breast cancer detection using deep learning techniques
Breast cancer is a common health problem in women, with one out of eight women dying
from breast cancer. Many women ignore the need for breast cancer diagnosis as the …
from breast cancer. Many women ignore the need for breast cancer diagnosis as the …
Breast DCE-MRI segmentation for lesion detection using chimp optimization algorithm
The high prevalence of breast cancer in women has increased dramatically in recent times.
Physician's knowledge in breast cancer diagnosis and detection using computerized …
Physician's knowledge in breast cancer diagnosis and detection using computerized …
Automated localization of breast cancer in DCE-MRI
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly being
used for the detection and diagnosis of breast cancer. Compared to mammography, DCE …
used for the detection and diagnosis of breast cancer. Compared to mammography, DCE …
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 …
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound
The automated whole breast ultrasound (AWBUS) is a new breast imaging technique that
can depict the whole breast anatomy. To facilitate the reading of AWBUS images and …
can depict the whole breast anatomy. To facilitate the reading of AWBUS images and …
Volumetric breast density estimation on MRI using explainable deep learning regression
BHM van der Velden, MHA Janse, MAA Ragusi… - Scientific reports, 2020 - nature.com
To purpose of this paper was to assess the feasibility of volumetric breast density
estimations on MRI without segmentations accompanied with an explainability step. A total …
estimations on MRI without segmentations accompanied with an explainability step. A total …