Detection of metastatic breast cancer from whole-slide pathology images using an ensemble deep-learning method: detection of breast cancer using deep-learning
Background: Metastasis is the main cause of death toll among breast cancer patients. Since
current approaches for diagnosis of lymph node metastases are time-consuming, deep …
current approaches for diagnosis of lymph node metastases are time-consuming, deep …
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Importance Application of deep learning algorithms to whole-slide pathology images can
potentially improve diagnostic accuracy and efficiency. Objective Assess the performance of …
potentially improve diagnostic accuracy and efficiency. Objective Assess the performance of …
A deep analysis of transfer learning based breast cancer detection using histopathology images
Breast cancer is one of the most common and dangerous cancers in women, while it can
also afflict men. Breast cancer treatment and detection are greatly aided by the use of …
also afflict men. Breast cancer treatment and detection are greatly aided by the use of …
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
With the increasing ability to routinely and rapidly digitize whole slide images with slide
scanners, there has been interest in developing computerized image analysis algorithms for …
scanners, there has been interest in developing computerized image analysis algorithms for …
NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images
Simple Summary Recent advancements in AI have revolutionized cancer research,
especially in the analysis of histopathological imaging data with minimal human …
especially in the analysis of histopathological imaging data with minimal human …
Deep learning for identifying metastatic breast cancer
The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to
evaluate computational systems for the automated detection of metastatic breast cancer in …
evaluate computational systems for the automated detection of metastatic breast cancer in …
DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
The gold standard for breast cancer diagnosis, treatment, and management is the
histological analysis of a suspected section. Histopathology consists in analyzing the …
histological analysis of a suspected section. Histopathology consists in analyzing the …
Transforming Breast Cancer Identification: An In-Depth Examination of Advanced Machine Learning Models Applied to Histopathological Images
Breast cancer stands as one of the most prevalent and perilous forms of cancer affecting
both women and men. The detection and treatment of breast cancer benefit significantly from …
both women and men. The detection and treatment of breast cancer benefit significantly from …
Cancer metastasis detection with neural conditional random field
Breast cancer diagnosis often requires accurate detection of metastasis in lymph nodes
through Whole-slide Images (WSIs). Recent advances in deep convolutional neural …
through Whole-slide Images (WSIs). Recent advances in deep convolutional neural …
Deep learning in breast imaging
A Bhowmik, S Eskreis-Winkler - BJR| Open, 2022 - academic.oup.com
Millions of breast imaging exams are performed each year in an effort to reduce the
morbidity and mortality of breast cancer. Breast imaging exams are performed for cancer …
morbidity and mortality of breast cancer. Breast imaging exams are performed for cancer …