Breast cancer detection, segmentation and classification on histopathology images analysis: a systematic review
R Krithiga, P Geetha - Archives of Computational Methods in Engineering, 2021 - Springer
Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …
examinations constitute the standard in medical protocols and the law, and call for specific …
[HTML][HTML] Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
Digital pathology technologies, including whole slide imaging (WSI), have significantly
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …
Automated scoring of CerbB2/HER2 receptors using histogram based analysis of immunohistochemistry breast cancer tissue images
Abstract Background and Objective: Visual expression of invasive breast cancer with
immunohistochemistry (IHC) allows evaluation of CerbB2 receptors, such that CerbB2 …
immunohistochemistry (IHC) allows evaluation of CerbB2 receptors, such that CerbB2 …
[HTML][HTML] Computational approach for counting of SISH amplification signals for HER2 status assessment
The human epidermal growth factor receptor 2 (HER2) gene is a critical biomarker for
determining amplification status and targeting clinical therapies in breast cancer treatment …
determining amplification status and targeting clinical therapies in breast cancer treatment …
Cancer cell detection through histological nuclei images applying the hybrid combination of artificial bee colony and particle swarm optimization algorithms
Cancer is a fatal disease that is continuously growing in the developed countries. It is also
considered as a main global human health problem. Based on several studies, which have …
considered as a main global human health problem. Based on several studies, which have …
Insights into AI advances in immunohistochemistry for effective breast cancer treatment: a literature review of ER, PR, and HER2 scoring
G Chyrmang, K Bora, AK Das, GN Ahmed… - … Medical Research and …, 2024 - Taylor & Francis
Breast cancer is a significant health challenge, with accurate and timely diagnosis being
critical to effective treatment. Immunohistochemistry (IHC) staining is a widely used …
critical to effective treatment. Immunohistochemistry (IHC) staining is a widely used …
Semantic segmentation in immunohistochemistry breast cancer image using deep learning
S Benny, SL Varma - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Cancer is affecting many people's lives. Uncontrollable growth of cells causes cancer. Thus,
there is a need to find accurate results for the treatment of a patient by using the proper …
there is a need to find accurate results for the treatment of a patient by using the proper …
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
This study proposes a unique approach to classify CerbB2 tumor cell scores in breast
cancer based on deep learning models. Another contribution of the study is the creation of a …
cancer based on deep learning models. Another contribution of the study is the creation of a …
Immunohistochemistry BC image analysis: A review
Breast cancer (BC) is the most prevalent type of cancer among women. However, it can be
cured if detected in early stages and treated in proper way. As pathologists play the lead role …
cured if detected in early stages and treated in proper way. As pathologists play the lead role …
Research on image segmentation based on support vector machine
C Tan, Y Sun, GF Li, GZ Jiang… - … on Machine Learning …, 2018 - ieeexplore.ieee.org
Image segmentation technology is one of the important topics in the field of digital image
processing. However, the existing image segmentation technology does not have a uniform …
processing. However, the existing image segmentation technology does not have a uniform …