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In whole slide imaging, commonly used staining techniques based on hematoxylin and eosin (H&E) and immunohistochemistry (IHC) stains accentuate different aspects of the tissue landscape. In the case of detecting metastases, IHC provides a…

Image and Video Processing · Electrical Eng. & Systems 2022-08-30 Joseph Boyd , Irène Villa , Marie-Christine Mathieu , Eric Deutsch , Nikos Paragios , Maria Vakalopoulou , Stergios Christodoulidis

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

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

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

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

The variation in histologic staining between different medical centers is one of the most profound challenges in the field of computer-aided diagnosis. The appearance disparity of pathological whole slide images causes algorithms to become…

Image and Video Processing · Electrical Eng. & Systems 2024-04-05 Martin J. Hetz , Tabea-Clara Bucher , Titus J. Brinker

Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, is state of the art for the stain translation of histopathology images. It often, however, suffers from the presence of…

Computer Vision and Pattern Recognition · Computer Science 2022-07-04 Nicolas Brieu , Felix J. Segerer , Ansh Kapil , Philipp Wortmann , Guenter Schmidt

Double staining in histopathology, particularly for metaplastic breast cancer, typically employs H&E and P63 dyes. However, P63's tissue damage and high cost necessitate alternative methods. This study introduces xAI-CycleGAN, an advanced…

Image and Video Processing · Electrical Eng. & Systems 2023-12-07 Tibor Sloboda , Lukáš Hudec , Wanda Benešová

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

Generalization is one of the main challenges of computational pathology. Slide preparation heterogeneity and the diversity of scanners lead to poor model performance when used on data from medical centers not seen during training. In order…

Image and Video Processing · Electrical Eng. & Systems 2024-01-09 Nicolas Nerrienet , Rémy Peyret , Marie Sockeel , Stéphane Sockeel

Accurate and fast histological staining is crucial in histopathology, impacting diagnostic precision and reliability. Traditional staining methods are time-consuming and subjective, causing delays in diagnosis. Digital pathology plays a…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Marian Boktor , James E. D. Tweel , Benjamin R. Ecclestone , Jennifer Ai Ye , Paul Fieguth , Parsin Haji Reza

In digital pathology, many image analysis tasks are challenged by the need for large and time-consuming manual data annotations to cope with various sources of variability in the image domain. Unsupervised domain adaptation based on…

Image and Video Processing · Electrical Eng. & Systems 2022-05-18 Nassim Bouteldja , Barbara Mara Klinkhammer , Tarek Schlaich , Peter Boor , Dorit Merhof

The diagnosis of cancer is mainly performed by visual analysis of the pathologists, through examining the morphology of the tissue slices and the spatial arrangement of the cells. If the microscopic image of a specimen is not stained, it…

Image and Video Processing · Electrical Eng. & Systems 2020-02-06 Pegah Salehi , Abdolah Chalechale

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

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

Histopathology relies on the analysis of microscopic tissue images to diagnose disease. A crucial part of tissue preparation is staining whereby a dye is used to make the salient tissue components more distinguishable. However, differences…

Image and Video Processing · Electrical Eng. & Systems 2022-08-03 Haseeb Nazki , Ognjen Arandjelović , InHwa Um , David Harrison

Immunohistochemical (IHC) virtual staining is a task that generates virtual IHC images from H\&E images while maintaining pathological semantic consistency with adjacent slices. This task aims to achieve cross-domain mapping between…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Yue Peng , Bing Xiong , Fuqiang Chen , De Eybo , RanRan Zhang , Wanming Hu , Jing Cai , Wenjian Qin

Three-dimensional X-ray histology techniques offer a non-invasive alternative to conventional 2D histology, enabling volumetric imaging of biological tissues without the need for physical sectioning or chemical staining. However, the…

Image and Video Processing · Electrical Eng. & Systems 2025-09-12 Sarah C. Irvine , Christian Lucas , Diana Krüger , Bianca Guedert , Julian Moosmann , Berit Zeller-Plumhoff

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

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
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