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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

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

Molecular subtypes of breast cancer are important references to personalized clinical treatment. For cost and labor savings, only one of the patient's paraffin blocks is usually selected for subsequent immunohistochemistry (IHC) to obtain…

Image and Video Processing · Electrical Eng. & Systems 2022-03-16 Hong Liu , Wen-Dong Xu , Zi-Hao Shang , Xiang-Dong Wang , Hai-Yan Zhou , Ke-Wen Ma , Huan Zhou , Jia-Lin Qi , Jia-Rui Jiang , Li-Lan Tan , Hui-Min Zeng , Hui-Juan Cai , Kuan-Song Wang , Yue-Liang Qian

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

Conventional histopathology has long been essential for disease diagnosis, relying on visual inspection of tissue sections. Immunohistochemistry aids in detecting specific biomarkers but is limited by its single-marker approach, restricting…

Universal, transferable whole-slide image (WSI) representations are central to computational pathology. Incorporating multiple markers (e.g., immunohistochemistry, IHC) alongside H&E enriches H&E-based features with diverse, biologically…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Yizhi Zhang , Lei Fan , Zhulin Tao , Donglin Di , Yang Song , Sidong Liu , Cong Cong

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-18 Jonathan de Matos , Alceu de Souza Britto , Luiz E. S. Oliveira , Alessandro L. Koerich

Histopathological image analysis is an essential process for the discovery of diseases such as cancer. However, it is challenging to train CNN on whole slide images (WSIs) of gigapixel resolution considering the available memory capacity.…

Image and Video Processing · Electrical Eng. & Systems 2019-10-11 Shusuke Takahama , Yusuke Kurose , Yusuke Mukuta , Hiroyuki Abe , Masashi Fukayama , Akihiko Yoshizawa , Masanobu Kitagawa , Tatsuya Harada

Background and purpose: Colorectal cancer has become the third most common cancer worldwide, accounting for approximately 10% of cancer patients. Early detection of the disease is important for the treatment of colorectal cancer patients.…

Image and Video Processing · Electrical Eng. & Systems 2022-02-18 Weiming Hu , Chen Li , Xiaoyan Li , Md Mamunur Rahaman , Yong Zhang , Haoyuan Chen , Wanli Liu , Yudong Yao , Hongzan Sun , Ning Xu , Xinyu Huang , Marcin Grzegorze

Histomorphology is crucial in cancer diagnosis. However, existing whole slide image (WSI) classification methods struggle to effectively incorporate histomorphology information, limiting their ability to capture key pathological features.…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Baizhi Wang , Rui Yan , Wenxin Ma , Xu Zhang , Yuhao Wang , Xiaolong Li , Yunjie Gu , Zihang Jiang , S. Kevin Zhou

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

Immunohistochemical (IHC) stains play a vital role in a pathologist's analysis of medical images, providing crucial diagnostic information for various diseases. Virtual staining from hematoxylin and eosin (H&E)-stained whole slide images…

Image and Video Processing · Electrical Eng. & Systems 2024-10-03 Sitong Liu , Kechun Liu , Samuel Margolis , Wenjun Wu , Stevan R. Knezevich , David E Elder , Megan M. Eguchi , Joann G Elmore , Linda Shapiro

The quantification of biomarkers on immunohistochemistry breast cancer images is essential for defining appropriate therapy for breast cancer patients, as well as for extracting relevant information on disease prognosis. This is an arduous…

Image and Video Processing · Electrical Eng. & Systems 2023-11-27 Blanca Maria Priego-Torresa , Barbara Lobato-Delgado , Lidia Atienza-Cuevas , Daniel Sanchez-Morillo

The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole slide images of sentinel lymph node biopsies. Our team won…

Quantitative Methods · Quantitative Biology 2016-06-21 Dayong Wang , Aditya Khosla , Rishab Gargeya , Humayun Irshad , Andrew H. Beck

Despite advancements in methodologies, immunohistochemistry (IHC) remains the most utilized ancillary test for histopathologic and companion diagnostics in targeted therapies. However, objective IHC assessment poses challenges. Artificial…

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…

Joint analysis of multiple biomarker images and tissue morphology is important for disease diagnosis, treatment planning and drug development. It requires cross-staining comparison among Whole Slide Images (WSIs) of immuno-histochemical and…

Image and Video Processing · Electrical Eng. & Systems 2022-07-05 Abubakr Shafique , Morteza Babaie , Mahjabin Sajadi , Adrian Batten , Soma Skdar , H. R. Tizhoosh

Comb Sign is an important imaging biomarker to detect multiple gastrointestinal diseases. It shows up as increased blood flow along the intestinal wall indicating potential abnormality, which helps doctors diagnose inflammatory conditions.…

Image and Video Processing · Electrical Eng. & Systems 2025-03-03 Shashwat Gupta , Sarthak Gupta , Akshan Agrawal , Mahim Naaz , Rajanikanth Yadav , Priyanka Bagade

Precision medicine has become a central focus in breast cancer management, advancing beyond conventional methods to deliver more precise and individualized therapies. Traditionally, histopathology images have been used primarily for…

Quantitative Methods · Quantitative Biology 2024-12-17 Suchithra Kunhoth , Somaya Al- Maadeed , Younes Akbari , Rafif Al Saady

Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is not only time and resource consuming, but also very challenging even for experienced pathologists,…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Jonathan de Matos , Steve Tsham Mpinda Ataky , Alceu de Souza Britto , Luiz Eduardo Soares de Oliveira , Alessandro Lameiras Koerich
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