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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

Histopathological evaluation of tissue samples is a key practice in patient diagnosis and drug development, especially in oncology. Historically, Hematoxylin and Eosin (H&E) has been used by pathologists as a gold standard staining.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Amal Lahiani , Jacob Gildenblat , Irina Klaman , Shadi Albarqouni , Nassir Navab , Eldad Klaiman

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

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

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

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation…

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

Histological Tertiary Lymphoid Structures (TLSs) are increasingly recognized for their correlation with the efficacy of immunotherapy in various solid tumors. Traditionally, the identification and characterization of TLSs rely on…

Image and Video Processing · Electrical Eng. & Systems 2024-08-27 Qiuli Wang , Yongxu Liu , Li Ma , Xianqi Wang , Wei Chen , Xiaohong Yao

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

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

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

In the clinic, resected tissue samples are stained with Hematoxylin-and-Eosin (H&E) and/or Immunhistochemistry (IHC) stains and presented to the pathologists on glass slides or as digital scans for diagnosis and assessment of disease…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Parmida Ghahremani , Joseph Marino , Ricardo Dodds , Saad Nadeem

Digital pathology has advanced significantly over the last decade, with Whole Slide Images (WSIs) encompassing vast amounts of data essential for accurate disease diagnosis. High-resolution WSIs are essential for precise diagnosis but…

Image and Video Processing · Electrical Eng. & Systems 2024-08-28 Xuan Xu , Saarthak Kapse , Prateek Prasanna

We introduce a new AI-ready computational pathology dataset containing restained and co-registered digitized images from eight head-and-neck squamous cell carcinoma patients. Specifically, the same tumor sections were stained with the…

Image and Video Processing · Electrical Eng. & Systems 2023-05-29 Parmida Ghahremani , Joseph Marino , Juan Hernandez-Prera , Janis V. de la Iglesia , Robbert JC Slebos , Christine H. Chung , Saad Nadeem

Pathological diagnosis relies on the visual inspection of histologically stained thin tissue specimens, where different types of stains are applied to bring contrast to and highlight various desired histological features. However, the…

Medical Physics · Physics 2022-08-18 Xilin Yang , Bijie Bai , Yijie Zhang , Yuzhu Li , Kevin de Haan , Tairan Liu , Aydogan Ozcan

Virtual staining has emerged as a powerful alternative to traditional histopathological staining techniques, enabling rapid, reagent-free image transformations. However, existing evaluation methods predominantly rely on full-reference image…

Image and Video Processing · Electrical Eng. & Systems 2025-07-18 Qiankai Wang , James E. D. Tweel , Parsin Haji Reza , Anita Layton

Digitized Histological diagnosis is in increasing demand. However, color variations due to various factors are imposing obstacles to the diagnosis process. The problem of stain color variations is a well-defined problem with many proposed…

Computer Vision and Pattern Recognition · Computer Science 2018-04-06 M Tarek Shaban , Christoph Baur , Nassir Navab , Shadi Albarqouni

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…

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