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We present a self-supervised algorithm for several classification tasks within hematoxylin and eosin (H&E) stained images of breast cancer. Our method is robust to stain variations inherent to the histology images acquisition process, which…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Alexandre Tiard , Alex Wong , David Joon Ho , Yangchao Wu , Eliram Nof , Alvin C. Goh , Stefano Soatto , Saad Nadeem

Virtual staining offers a promising method for converting Hematoxylin and Eosin (H&E) images into Immunohistochemical (IHC) images, eliminating the need for costly chemical processes. However, existing methods often struggle to utilize…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Sicheng Yang , Zhaohu Xing , Haipeng Zhou , Lei Zhu

Conventional hematoxylin-eosin (H&E) staining is limited to revealing cell morphology and distribution, whereas immunohistochemical (IHC) staining provides precise and specific visualization of protein activation at the molecular level.…

Image and Video Processing · Electrical Eng. & Systems 2024-07-30 Fuqiang Chen , Ranran Zhang , Boyun Zheng , Yiwen Sun , Jiahui He , Wenjian Qin

Virtual immunohistochemistry (IHC) staining from hematoxylin and eosin (H&E) images can accelerate diagnostics by providing preliminary molecular insight directly from routine sections, reducing the need for repeat sectioning when tissue is…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Jillur Rahman Saurav , Thuong Le Hoai Pham , Pritam Mukherjee , Paul Yi , Brent A. Orr , Jacob M. Luber

Immunohistochemical (IHC) staining serves as a valuable technique for detecting specific antigens or proteins through antibody-mediated visualization. However, the IHC staining process is both time-consuming and costly. To address these…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Zetong Chen , Yuzhuo Chen , Hai Zhong , Xu Qiao

Medical practitioners use a number of diagnostic tests to make a reliable diagnosis. Traditionally, Haematoxylin and Eosin (H&E) stained glass slides have been used for cancer diagnosis and tumor detection. However, recently a variety of…

Image and Video Processing · Electrical Eng. & Systems 2023-12-27 Abubakr Shafique , Morteza Babaie , Ricardo Gonzalez , H. R. Tizhoosh

Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin and Eosin (H&E) staining is the gold standard for oncology care. H&E staining is slow and uses dyes, reagents and precious tissue samples that cannot be reused.…

Breast cancer early detection is crucial for improving patient outcomes. The Institut Catal\`a de la Salut (ICS) has launched the DigiPatICS project to develop and implement artificial intelligence algorithms to assist with the diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2023-05-15 David Anglada-Rotger , Ferran Marqués , Montse Pardàs

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

In this paper, we develop a complete pipeline for stain normalization, segmentation, and classification of nuclei in hematoxylin and eosin (H&E) stained breast cancer histopathology images. In the first step, we use a CNN-based stain…

Computer Vision and Pattern Recognition · Computer Science 2018-11-12 Edwin Yuan , Junkyo Suh

Immunohistochemical (IHC) staining highlights the molecular information critical to diagnostics in tissue samples. However, compared to H&E staining, IHC staining can be much more expensive in terms of both labor and the laboratory…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Fangda Li , Zhiqiang Hu , Wen Chen , Avinash Kak

Histological examination is crucial for cancer diagnosis, including hematoxylin and eosin (H&E) staining for mapping morphology and immunohistochemistry (IHC) staining for revealing chemical information. Recently developed two-color…

Tissues and Organs · Quantitative Biology 2023-09-22 Hongli Ni , Chinmayee Prabhu Dessai , Haonan Lin , Wei Wang , Shaoxiong Chen , Yuhao Yuan , Xiaowei Ge , Jianpeng Ao , Nolan Vild , Ji-Xin Cheng

The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is an essential part of the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly…

Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of breast cancer. Currently, HER2 breast cancer is detected using expensive medical tests are most expensive. Therefore, the aim of this…

Image and Video Processing · Electrical Eng. & Systems 2022-11-22 M. F. Mridha , Md. Kishor Morol , Md. Asraf Ali , Md Sakib Hossain Shovon

Breast cancer, the most common malignancy among women, requires precise detection and classification for effective treatment. Immunohistochemistry (IHC) biomarkers like HER2, ER, and PR are critical for identifying breast cancer subtypes.…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Ekansh Chauhan , Anila Sharma , Amit Sharma , Vikas Nishadham , Asha Ghughtyal , Ankur Kumar , Gurudutt Gupta , Anurag Mehta , C. V. Jawahar , P. K. Vinod

Immunohistochemistry (IHC) staining plays a significant role in the evaluation of diseases such as breast cancer. The H&E-to-IHC transformation based on generative models provides a simple and cost-effective method for obtaining IHC images.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Yifan Jia , Xingda Yu , Zhengyang Ji , Songning Lai , Yutao Yue

Histopathology tissue samples are widely available in two states: paraffin-embedded unstained and non-paraffin-embedded stained whole slide RGB images (WSRI). Hematoxylin and eosin stain (H&E) is one of the principal stains in histology but…

Computer Vision and Pattern Recognition · Computer Science 2019-02-21 Aman Rana , Gregory Yauney , Alarice Lowe , Pratik Shah

Lymphoid infiltration at tumor margins is a key prognostic marker in solid tumors, playing a crucial role in guiding immunotherapy decisions. Current assessment methods, heavily reliant on immunohistochemistry (IHC), face challenges in…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Zhuxian Guo , Amine Marzouki , Jean-François Emile , Henning Müller , Camille Kurtz , Nicolas Loménie

Immunohistochemistry (IHC) plays a crucial role in pathology as it detects the over-expression of protein in tissue samples. However, there are still fewer machine learning model studies on IHC's impact on accurate cancer grading. We…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Jun Wang , Yu Mao , Yufei Cui , Nan Guan , Chun Jason Xue

Breast cancer is one of the leading causes of death for women worldwide. Early screening is essential for early identification, but the chance of survival declines as the cancer progresses into advanced stages. For this study, the most…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Fahad Ahmed , Reem Abdel-Salam , Leon Hamnett , Mary Adewunmi , Temitope Ayano