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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

Compared to hematoxylin-eosin (H&E) staining, immunohistochemistry (IHC) not only maintains the structural features of tissue samples, but also provides high-resolution protein localization, which is essential for aiding in pathology…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Yuhang Kang , Ziyu Su , Tianyang Wang , Zaibo Li , Wei Chen , Muhammad Khalid Khan Niazi

Breast cancer presents a significant healthcare challenge globally, demanding precise diagnostics and effective treatment strategies, where histopathological examination of Hematoxylin and Eosin (H&E) stained tissue sections plays a central…

Image and Video Processing · Electrical Eng. & Systems 2024-08-06 Linhao Qu , Chengsheng Zhang , Guihui Li , Haiyong Zheng , Chen Peng , Wei He

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

Computational analysis of multiplexed immunofluorescence histology data is emerging as an important method for understanding the tumour micro-environment in cancer. This work presents HEMIT, a dataset designed for translating Hematoxylin…

Image and Video Processing · Electrical Eng. & Systems 2024-09-30 Chang Bian , Beth Philips , Tim Cootes , Martin Fergie

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

H&E-to-IHC stain translation techniques offer a promising solution for precise cancer diagnosis, especially in low-resource regions where there is a shortage of health professionals and limited access to expensive equipment. Considering the…

Image and Video Processing · Electrical Eng. & Systems 2024-09-04 Song Wang , Zhong Zhang , Huan Yan , Ming Xu , Guanghui Wang

Deep learning models can generate virtual immunohistochemistry (IHC) stains from hematoxylin and eosin (H&E) images, offering a scalable and low-cost alternative to laboratory IHC. However, reliable evaluation of image quality remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Tushar Kataria , Shikha Dubey , Mary Bronner , Jolanta Jedrzkiewicz , Ben J. Brintz , Shireen Y. Elhabian , Beatrice S. Knudsen

Immunohistochemical (IHC) staining provides crucial molecular characterization of tissue samples and plays an indispensable role in the clinical examination and diagnosis of cancers. However, compared with the commonly used Hematoxylin and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Mingzhou Jiang , Jiaying Zhou , Nan Zeng , Mickael Li , Qijie Tang , Chao He , Huazhu Fu , Honghui He

The overexpression of the human epidermal growth factor receptor 2 (HER2) in breast cells is a key driver of HER2-positive breast cancer, a highly aggressive subtype requiring precise diagnosis and targeted therapy. Immunohistochemistry…

Image and Video Processing · Electrical Eng. & Systems 2026-03-10 Sara Rehmat , Hafeez Ur Rehman , Byeong-Gwon Kang , Sarra Ayouni , Yunyoung Nam

This study evaluates the generalisation capabilities of state-of-the-art histopathology foundation models on out-of-distribution multi-stain autoimmune Immunohistochemistry datasets. We compare 13 feature extractor models, including…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Amaya Gallagher-Syed , Elena Pontarini , Myles J. Lewis , Michael R. Barnes , Gregory Slabaugh

Hematoxylin and eosin (H&E) staining visualizes histology but lacks specificity for diagnostic markers. Immunohistochemistry (IHC) staining provides protein-targeted staining but is restricted by tissue availability and antibody…

Image and Video Processing · Electrical Eng. & Systems 2025-07-01 Anran Liu , Xiaofei Wang , Jing Cai , Chao Li

Hematoxylin and eosin (H&E) staining is the clinical standard for assessing tissue morphology, but it lacks molecular-level diagnostic information. In contrast, immunohistochemistry (IHC) provides crucial insights into biomarker expression,…

Image and Video Processing · Electrical Eng. & Systems 2025-08-05 Jingsong Liu , Xiaofeng Deng , Han Li , Azar Kazemi , Christian Grashei , Gesa Wilkens , Xin You , Tanja Groll , Nassir Navab , Carolin Mogler , Peter J. Schüffler

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

Breast cancer is a highly fatal disease among cancers in women, and early detection is crucial for treatment. HER2 status, a valuable diagnostic marker based on Immunohistochemistry (IHC) staining, is instrumental in determining breast…

Image and Video Processing · Electrical Eng. & Systems 2024-09-04 Linda Wei , Shengyi Hua , Shaoting Zhang , Xiaofan Zhang

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…

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

Hematoxylin and Eosin (H&E) staining is a cornerstone of pathological analysis, offering reliable visualization of cellular morphology and tissue architecture for cancer diagnosis, subtyping, and grading. Immunohistochemistry (IHC) staining…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 Amit Das , Naofumi Tomita , Kyle J. Syme , Weijie Ma , Paige O'Connor , Kristin N. Corbett , Bing Ren , Xiaoying Liu , Saeed Hassanpour

While multiplex immunofluorescence (mIF) imaging provides deep, spatially-resolved molecular data, integrating this information with the morphological standard of Hematoxylin & Eosin (H&E) can be very important for obtaining complementary…

Quantitative Methods · Quantitative Biology 2025-08-08 Jillur Rahman Saurav , Mohammad Sadegh Nasr , Jacob M. Luber

Attribute recognition is a crucial but challenging task due to viewpoint changes, illumination variations and appearance diversities, etc. Most of previous work only consider the attribute-level feature embedding, which might perform poorly…

Computer Vision and Pattern Recognition · Computer Science 2020-05-26 Jie Yang , Jiarou Fan , Yiru Wang , Yige Wang , Weihao Gan , Lin Liu , Wei Wu
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