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The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is conducted with immunohistochemical techniques (IHC), which is…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Shengjie Liu , Chuang Zhu , Feng Xu , Xinyu Jia , Zhongyue Shi , Mulan Jin

Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene signature is widely recognized as a standard for classifying breast cancer into intrinsic subtypes, enabling more personalized treatment…

Breast cancer has long been a prominent cause of mortality among women. Diagnosis, therapy, and prognosis are now possible, thanks to the availability of RNA sequencing tools capable of recording gene expression data. Molecular subtyping…

Machine Learning · Computer Science 2021-11-11 Sheetal Rajpal , Virendra Kumar , Manoj Agarwal , Naveen Kumar

This study introduces a federated learning-based approach to predict HER2 status from hematoxylin and eosin (HE)-stained whole slide images (WSIs), reducing costs and speeding up treatment decisions. To address label imbalance and feature…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Kamorudeen A. Amuda , Almustapha A. Wakili

Accurate identification of breast cancer types plays a critical role in guiding treatment decisions and improving patient outcomes. This paper presents an artificial intelligence enabled tool designed to aid in the identification of breast…

Image and Video Processing · Electrical Eng. & Systems 2025-05-28 Neil Chaudhary , Zaynah Dhunny

Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wave elasticity imaging to advance the diagnosis. However,…

Image and Video Processing · Electrical Eng. & Systems 2020-08-11 Wang Jian , Miao Juzheng , Yang Xin , Li Rui , Zhou Guangquan , Huang Yuhao , Lin Zehui , Xue Wufeng , Jia Xiaohong , Zhou Jianqiao , Huang Ruobing , Ni Dong

Current analysis of tumor proliferation, the most salient prognostic biomarker for invasive breast cancer, is limited to subjective mitosis counting by pathologists in localized regions of tissue images. This study presents the first…

Computer Vision and Pattern Recognition · Computer Science 2016-10-12 Manan Shah , Christopher Rubadue , David Suster , Dayong Wang

Breast cancer is a health problem that affects mainly the female population. An early detection increases the chances of effective treatment, improving the prognosis of the disease. In this regard, computational tools have been proposed to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Steve Tsham Mpinda Ataky , Alessandro Lameiras Koerich

Breast cancer is one of the most serious types of cancer that can occur in women. The automatic diagnosis of breast cancer by analyzing histological images (HIs) is important for patients and their prognosis. The classification of HIs…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Hayder A. Khikani , Naira Elazab , Ahmed Elgarayhi , Mohammed Elmogy , Mohammed Sallah

Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of breast cancer patients can bring the cost and delays of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Abhijeet Patil , Dipesh Tamboli , Swati Meena , Deepak Anand , Amit Sethi

Breast cancer is one of the leading causes of mortality in women. Early detection and treatment are imperative for improving survival rates, which have steadily increased in recent years as a result of more sophisticated…

Computer Vision and Pattern Recognition · Computer Science 2018-02-27 Sulaiman Vesal , Nishant Ravikumar , AmirAbbas Davari , Stephan Ellmann , Andreas Maier

Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires…

The popular use of histopathology images, such as hematoxylin and eosin (H&E), has proven to be useful in detecting tumors. However, moving such cancer cases forward for treatment requires accurate on the amount of the human epidermal…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Olaide N. Oyelade , Oliver Hoxey , Yulia Humrye

Breast cancer is one of the most common causes of cancer-related death in women worldwide. Early and accurate diagnosis of breast cancer may significantly increase the survival rate of patients. In this study, we aim to develop a fully…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Breast cancer treatment still remains a challenge, where molecular subtypes classification plays a crucial role in selecting appropriate and specific therapy. The four subtypes are Luminal A (LA), Luminal B (LB), HER2 subtype, and…

Machine Learning · Computer Science 2023-10-24 Matheus del-Valle , Emerson Soares Bernardes , Denise Maria Zezell

Breast Cancer is a major cause of death worldwide among women. Hematoxylin and Eosin (H&E) stained breast tissue samples from biopsies are observed under microscopes for the primary diagnosis of breast cancer. In this paper, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2018-07-26 Aditya Golatkar , Deepak Anand , Amit Sethi

Early diagnosis of breast cancer (BC) significantly contributes to reducing the mortality rate worldwide. The detection of different factors and biomarkers such as Estrogen receptor (ER), Progesterone receptor (PR), Human epidermal growth…

Image and Video Processing · Electrical Eng. & Systems 2024-09-18 Abdul Rehman , Sarfaraz Hussein , Waqas Sultani

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain tumour tissues prepared on tissue microarray (TMA). To…

Computer Vision and Pattern Recognition · Computer Science 2019-01-15 Jingxin Liu , Bolei Xu , Chi Zheng , Yuanhao Gong , Jon Garibaldi , Daniele Soria , Andew Green , Ian O. Ellis , Wenbin Zou , Guoping Qiu

For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective…

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-18 Jonathan de Matos , Alceu de Souza Britto , Luiz E. S. Oliveira , Alessandro L. Koerich