A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks
Breast cancer is currently the second most common cause of cancer-related death in
women. Presently, the clinical benchmark in cancer diagnosis is tissue biopsy examination …
women. Presently, the clinical benchmark in cancer diagnosis is tissue biopsy examination …
Emerging themes in image informatics and molecular analysis for digital pathology
R Bhargava, A Madabhushi - Annual review of biomedical …, 2016 - annualreviews.org
Pathology is essential for research in disease and development, as well as for clinical
decision making. For more than 100 years, pathology practice has involved analyzing …
decision making. For more than 100 years, pathology practice has involved analyzing …
Her 2 challenge contest: a detailed assessment of automated her 2 scoring algorithms in whole slide images of breast cancer tissues
T Qaiser, A Mukherjee, C Reddy Pb… - …, 2018 - Wiley Online Library
Aims Evaluating expression of the human epidermal growth factor receptor 2 (HER 2) by
visual examination of immunohistochemistry (IHC) on invasive breast cancer (BC a) is a key …
visual examination of immunohistochemistry (IHC) on invasive breast cancer (BC a) is a key …
Artificial intelligence in breast cancer histopathology
RCK Chan, CKC To, KCT Cheng, T Yoshikazu… - …, 2023 - Wiley Online Library
This is a review on the use of artificial intelligence for digital breast pathology. A systematic
search on PubMed was conducted, identifying 17,324 research papers related to breast …
search on PubMed was conducted, identifying 17,324 research papers related to breast …
Learning where to see: a novel attention model for automated immunohistochemical scoring
Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on
invasive breast cancer is regarded as a significant predictive and prognostic marker. We …
invasive breast cancer is regarded as a significant predictive and prognostic marker. We …
Machine learning methods for histopathological image analysis: A review
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
Pap smear image classification using convolutional neural network
This article presents the result of a comprehensive study on deep learning based Computer
Aided Diagnostic techniques for classification of cervical dysplasia using Pap smear images …
Aided Diagnostic techniques for classification of cervical dysplasia using Pap smear images …