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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

Manual counting of mitotic tumor cells in tissue sections constitutes one of the strongest prognostic markers for breast cancer. This procedure, however, is time-consuming and error-prone. We developed a method to automatically detect…

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

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

Mitotic activity is an important feature for grading several cancer types. Counting mitotic figures (MFs) is a time-consuming, laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead to incorrect grading and…

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

Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours. Due to high inter-pathologist variability, deep learning-based algorithms are a promising solution to improve tumour…

The current standard for detecting human epidermal growth factor receptor 2 (HER2) status in breast cancer patients relies on HER2 amplification, identified through fluorescence in situ hybridization (FISH) or immunohistochemistry (IHC).…

Image and Video Processing · Electrical Eng. & Systems 2024-09-27 Ardhendu Sekhar , Vrinda Goel , Garima Jain , Abhijeet Patil , Ravi Kant Gupta , Tripti Bameta , Swapnil Rane , Amit Sethi

Atypical mitotic figures (AMFs) represent abnormal cell division associated with poor prognosis. Yet their detection remains difficult due to low prevalence, subtle morphology, and inter-observer variability. The MIDOG 2025 challenge…

Image and Video Processing · Electrical Eng. & Systems 2025-10-15 Guillaume Balezo , Hana Feki , Raphaël Bourgade , Lily Monnier , Matthieu Blons , Alice Blondel , Etienne Decencière , Albert Pla Planas , Thomas Walter

Pathological is crucial to cancer diagnosis. Usually, Pathologists draw their conclusion based on observed cell and tissue structure on histology slides. Rapid development in machine learning, especially deep learning have established…

Image and Video Processing · Electrical Eng. & Systems 2020-01-15 Jiangbo Shi , Zeyu Gao , Haichuan Zhang , Pargorn Puttapirat , Chunbao Wang , Xiangrong Zhang , Chen Li

In certain types of cancerous tissue, mitotic count has been shown to be associated with tumor proliferation, poor prognosis, and therapeutic resistance. Due to the high inter-rater variability of mitotic counting by pathologists,…

Computer Vision and Pattern Recognition · Computer Science 2023-10-12 Ruiwen Ding , James Hall , Neil Tenenholtz , Kristen Severson

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,…

Manual count of mitotic figures, which is determined in the tumor region with the highest mitotic activity, is a key parameter of most tumor grading schemes. It can be, however, strongly dependent on the area selection due to uneven mitotic…

Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin and Eosin (H&E) staining is the gold standard for oncology care. H&E staining is slow and uses dyes, reagents and precious tissue samples that cannot be reused.…

Molecular testing of tumor samples for targetable biomarkers is restricted by a lack of standardization, turnaround-time, cost, and tissue availability across cancer types. Additionally, targetable alterations of low prevalence may not be…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Kshitij Ingale , Sun Hae Hong , Qiyuan Hu , Renyu Zhang , Bo Osinski , Mina Khoshdeli , Josh Och , Kunal Nagpal , Martin C. Stumpe , Rohan P. Joshi

Histological staining of tissue biopsies, especially hematoxylin and eosin (H&E) staining, serves as the benchmark for disease diagnosis and comprehensive clinical assessment of tissue. However, the process is laborious and time-consuming,…

Pathologists routinely use immunohistochemical (IHC)-stained tissue slides against MelanA in addition to hematoxylin and eosin (H&E)-stained slides to improve their accuracy in diagnosing melanomas. The use of diagnostic Deep Learning…

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

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

The reliable identification of mitotic figures in whole-slide histopathological images remains difficult, owing to their low prevalence, substantial morphological heterogeneity, and the inconsistencies introduced by tissue processing and…

Image and Video Processing · Electrical Eng. & Systems 2025-09-23 Navya Sri Kelam , Akash Parekh , Saikiran Bonthu , Nitin Singhal
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