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Related papers: AMDet: A Tool for Mitotic Cell Detection in Histop…

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Accurate diagnosis of breast cancer in histopathology images is challenging due to the heterogeneity of cancer cell growth as well as of a variety of benign breast tissue proliferative lesions. In this paper, we propose a practical and…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Xingyu Li , Marko Radulovic , Ksenija Kanjer , Konstantinos N. Plataniotis

Breast cancer screening, primarily conducted through mammography, is often supplemented with ultrasound for women with dense breast tissue. However, existing deep learning models analyze each modality independently, missing opportunities to…

Image and Video Processing · Electrical Eng. & Systems 2023-11-16 Yiqiu Shen , Jungkyu Park , Frank Yeung , Eliana Goldberg , Laura Heacock , Farah Shamout , Krzysztof J. Geras

Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast…

Machine Learning · Computer Science 2023-05-05 Juan Zuluaga-Gomez

Breast cancer prediction models for mammography assume that annotations are available for individual images or regions of interest (ROIs), and that there is a fixed number of images per patient. These assumptions do not hold in real…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Shreyasi Pathak , Jörg Schlötterer , Jeroen Geerdink , Jeroen Veltman , Maurice van Keulen , Nicola Strisciuglio , Christin Seifert

Invasive ductal carcinoma (IDC) is the most prevalent form of breast cancer, and early, accurate diagnosis is critical to improving patient survival rates by guiding treatment decisions. Combining medical expertise with artificial…

Image and Video Processing · Electrical Eng. & Systems 2025-08-12 Shuo Han , Ahmed Karam Eldaly , Solomon Sunday Oyelere

Endometrial cancer, the fourth most common cancer in females in the United States, with the lifetime risk for developing this disease is approximately 2.8% in women. Precise histologic evaluation and molecular classification of endometrial…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Manu Goyal , Laura J. Tafe , James X. Feng , Kristen E. Muller , Liesbeth Hondelink , Jessica L. Bentz , Saeed Hassanpour

With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches…

Breast cancer remains a global challenge, causing over 1 million deaths globally in 2018. To achieve earlier breast cancer detection, screening x-ray mammography is recommended by health organizations worldwide and has been estimated to…

Cancer is one of the most common and fatal diseases in the world. Breast cancer affects one in every eight women and one in every eight hundred men. Hence, our prime target should be early detection of cancer because the early detection of…

Image and Video Processing · Electrical Eng. & Systems 2022-02-15 Jitendra Maan , Harsh Maan

Breast Cancer is the most common cancer among women, which is also visible in men, and accounts for more than 1 in 10 new cancer diagnoses each year. It is also the second most common cause of women who die from cancer. Hence, it…

Image and Video Processing · Electrical Eng. & Systems 2023-10-17 Kanan Mahammadli , Abdullah Burkan Bereketoglu , Ayse Gul Kabakci

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…

Breast cancer is the malignant tumor that causes the highest number of cancer deaths in females. Digital mammograms (DM or 2D mammogram) and digital breast tomosynthesis (DBT or 3D mammogram) are the two types of mammography imagery that…

Computer Vision and Pattern Recognition · Computer Science 2020-03-02 Gongbo Liang , Xiaoqin Wang , Yu Zhang , Xin Xing , Hunter Blanton , Tawfiq Salem , Nathan Jacobs

Histopathology remains the gold standard for diagnosis of various cancers. Recent advances in computer vision, specifically deep learning, have facilitated the analysis of histopathology images for various tasks, including immune cell…

Quantitative Methods · Quantitative Biology 2023-11-02 Jakub R. Kaczmarzyk , Tahsin M. Kurc , Shahira Abousamra , Rajarsi Gupta , Joel H. Saltz , Peter K. Koo

Breast cancer is described as one of the most common types of cancer which has been diagnosed mainly in women. When compared in the ratio of male to female, it has been duly found that the prone of having breast cancer is more in females…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Poulmi Banerjee , Satadal Saha

Identification and counting of cells and mitotic figures is a standard task in diagnostic histopathology. Due to the large overall cell count on histological slides and the potential sparse prevalence of some relevant cell types or mitotic…

Computer Vision and Pattern Recognition · Computer Science 2017-09-08 Marc Aubreville , Maximilian Krappmann , Christof Bertram , Robert Klopfleisch , Andreas Maier

Mitosis nuclei count is one of the important indicators for the pathological diagnosis of breast cancer. The manual annotation needs experienced pathologists, which is very time-consuming and inefficient. With the development of deep…

Computer Vision and Pattern Recognition · Computer Science 2022-12-29 Huadeng Wang , Zhipeng Liu , Rushi Lan , Zhenbing Liu , Xiaonan Luo , Xipeng Pan , Bingbing Li

The account of mitotic cells is a key feature in tumor diagnosis. However, due to the variability of mitotic cell morphology, it is a highly challenging task to detect mitotic cells in tumor tissues. At the same time, although advanced deep…

Computer Vision and Pattern Recognition · Computer Science 2022-08-29 Chen Yang , Wang Ziyue , Fang Zijie , Bian Hao , Zhang Yongbing

Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantly increase chances of survival and improves lives of…

Image and Video Processing · Electrical Eng. & Systems 2023-08-17 Unaiza Sajid , Rizwan Ahmed Khan , Shahid Munir Shah , Sheeraz Arif

Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires…

Malignant mesothelioma is classified into three histological subtypes, Epithelioid, Sarcomatoid, and Biphasic according to the relative proportions of epithelioid and sarcomatoid tumor cells present. Biphasic tumors display significant…