English
Related papers

Related papers: Cross-Domain Image Synthesis: Generating H&E from …

200 papers

We present an approach for multimodal pathology image search, using dynamic time warping (DTW) on Variational Autoencoder (VAE) latent space that is fed into a ranked choice voting scheme to retrieve multiplexed immunofluorescent imaging…

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

Numerous deep learning based methods have been developed for nuclei segmentation for H&E images and have achieved close to human performance. However, direct application of such methods to another modality of images, such as…

Computer Vision and Pattern Recognition · Computer Science 2022-08-15 Roger Trullo , Quoc-Anh Bui , Qi Tang , Reza Olfati-Saber

Computational pathology is a domain that aims to develop algorithms to automatically analyze large digitized histopathology images, called whole slide images (WSI). WSIs are produced scanning thin tissue samples that are stained to make…

Image and Video Processing · Electrical Eng. & Systems 2022-01-20 Niccoló Marini , Manfredo Atzori , Sebastian Otálora , Stephane Marchand-Maillet , Henning Müller

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

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

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

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

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

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

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…

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

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

Immunohistochemistry is a valuable diagnostic tool for cancer pathology. However, it requires specialist labs and equipment, is time-intensive, and is difficult to reproduce. Consequently, a long term aim is to provide a digital method of…

Image and Video Processing · Electrical Eng. & Systems 2022-04-15 Christopher D. Walsh , Joanne Edwards , Robert H. Insall

Histopathological images of tumors contain abundant information about how tumors grow and how they interact with their micro-environment. Better understanding of tissue phenotypes in these images could reveal novel determinants of…

Image and Video Processing · Electrical Eng. & Systems 2021-04-14 Adalberto Claudio Quiros , Roderick Murray-Smith , Ke Yuan

An optical microscopic examination of thinly cut stained tissue on glass slides prepared from a FFPE tissue blocks is the gold standard for tissue diagnostics. In addition, the diagnostic abilities and expertise of any pathologist is…

Pathology is practiced by visual inspection of histochemically stained slides. Most commonly, the hematoxylin and eosin (H&E) stain is used in the diagnostic workflow and it is the gold standard for cancer diagnosis. However, in many cases,…

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

In addition to evaluating tumor morphology using H&E staining, immunohistochemistry is used to assess the presence of specific proteins within the tissue. However, this is a costly and labor-intensive technique, for which virtual staining,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 José Teixeira , Pascal Klöckner , Diana Montezuma , Melis Erdal Cesur , João Fraga , Hugo M. Horlings , Jaime S. Cardoso , Sara P. Oliveira

Mitotic figure count is an important marker of tumor proliferation and has been shown to be associated with patients' prognosis. Deep learning based mitotic figure detection methods have been utilized to automatically locate the cell in…

Computer Vision and Pattern Recognition · Computer Science 2021-09-01 Jingtang Liang , Cheng Wang , Yujie Cheng , Zheng Wang , Fang Wang , Liyu Huang , Zhibin Yu , Yubo Wang