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Hematoxylin and Eosin (H&E) staining is widely regarded as the standard in pathology for diagnosing diseases and tracking tumor recurrence. While H&E staining shows tissue structures, it lacks the ability to reveal specific proteins that…

Image and Video Processing · Electrical Eng. & Systems 2025-05-21 Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian

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

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 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

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

Immunohistochemistry (IHC) is essential for assessing specific immune biomarkers like Human Epidermal growth-factor Receptor 2 (HER2) in breast cancer. However, the traditional protocols of obtaining IHC stains are resource-intensive,…

Image and Video Processing · Electrical Eng. & Systems 2026-04-10 Aasim Bin Saleem , Amr Ahmed , Ardhendu Behera , Hafeezullah Amin , Iman Yi Liao , Mahmoud Khattab , Pan Jia Wern , Haslina Makmur

Multiplex imaging is revolutionizing pathology by enabling the simultaneous visualization of multiple biomarkers within tissue samples, providing molecular-level insights that traditional hematoxylin and eosin (H&E) staining cannot provide.…

Image and Video Processing · Electrical Eng. & Systems 2026-01-06 Hyun-Jic Oh , Junsik Kim , Zhiyi Shi , Yichen Wu , Yu-An Chen , Peter K Sorger , Hanspeter Pfister , Won-Ki Jeong

This paper introduces a Virtual Immunohistochemistry Multiplex staining (VIMs) model designed to generate multiple immunohistochemistry (IHC) stains from a single hematoxylin and eosin (H&E) stained tissue section. IHC stains are crucial in…

Image and Video Processing · Electrical Eng. & Systems 2024-07-30 Shikha Dubey , Yosep Chong , Beatrice Knudsen , Shireen Y. Elhabian

Hematoxylin and Eosin (H&E) staining is the cornerstone of histopathology but lacks molecular specificity. While Immunohistochemistry (IHC) provides molecular insights, it is costly and complex, motivating H&E-to-IHC translation as a…

Image and Video Processing · Electrical Eng. & Systems 2025-09-22 Erik Großkopf , Valay Bundele , Mehran Hosseinzadeh , Hendrik P. A. Lensch

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

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

Virtual immunohistochemistry (IHC) aims to computationally synthesize molecular staining patterns from routine Hematoxylin and Eosin (H\&E) images, offering a cost-effective and tissue-efficient alternative to traditional physical staining.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Rongze Ma , Mengkang Lu , Zhenyu Xiang , Yongsheng Pan , Yicheng Wu , Qingjie Zeng , Yong Xia

Immunohistochemistry (IHC) has transformed clinical pathology by enabling the visualization of specific proteins within tissue sections. However, traditional IHC requires one tissue section per stain, exhibits section-to-section…

Hematoxylin and eosin (H&E)-stained slides are central to cancer diagnosis and monitoring, visualizing tissue architecture and cellular morphology. However, H&E lacks the molecular specificity needed to distinguish cell states and…

Image and Video Processing · Electrical Eng. & Systems 2026-04-14 Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian

Virtual staining streamlines traditional staining procedures by digitally generating stained images from unstained or differently stained images. While conventional staining methods involve time-consuming chemical processes, virtual…

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

Virtual staining of histopathology images (e.g., H&E-IHC) is an emerging tool in digital pathology, enabling faster and cheaper workflows by synthesizing target stains from routinely acquired slides. Yet, the quality of virtual staining…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Fedor Gubanov , Svetlana Illarionova , Vlad Kozlovskiy , Mikhail Romanov , Yersultan Akhmetov , Aida Akaeva , Vyacheslav Grinevich , Rifat Hamoudi , Maxim Sharaev

Histopathological cancer diagnosis is based on visual examination of stained tissue slides. Hematoxylin and eosin (H\&E) is a standard stain routinely employed worldwide. It is easy to acquire and cost effective, but cells and tissue…

Computer Vision and Pattern Recognition · Computer Science 2022-07-12 Zhaoyang Xu , Xingru Huang , Carlos Fernández Moro , Béla Bozóky , Qianni Zhang

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

With the advent of digital scanners and deep learning, diagnostic operations may move from a microscope to a desktop. Hematoxylin and Eosin (H&E) staining is one of the most frequently used stains for disease analysis, diagnosis, and…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Shikha Dubey , Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian
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