Cell mitosis detection using deep neural networks [PDF]
Knowledge-Based Systems, 2017 Quantitative analysis of cell mitosis, the process by which cells regenerate, is important in cell biology. Automatic cell mitosis detection can greatly facilitate the investigation of cell life cycle. However, cell-type diversity, cell non-rigid deformation and high cell density pose difficulties on handcrafting visual features for traditional ...
Zhang Yi, Yao Zhou, Hua Mao
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Journal of Pathology Informatics, 2013 Context: According to Nottingham grading system, mitosis count plays a critical role in cancer diagnosis and grading. Manual counting of mitosis is tedious and subject to considerable inter- and intra-reader variations.
Humayun Irshad
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Toward interpretable and generalized mitosis detection in digital pathology using deep learning [PDF]
Digital HealthObjective The mitotic activity index is an important prognostic factor in the diagnosis of cancer. The task of mitosis detection is difficult as the nuclei are microscopic in size and partially labeled, and there are many more non-mitotic nuclei compared
Hasan Farooq +5 more
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Cross-Scale Hypergraph Neural Networks with Inter–Intra Constraints for Mitosis Detection [PDF]
SensorsMitotic figures in tumor tissues are an important criterion for diagnosing malignant lesions, and physicians often search for the presence of mitosis in whole slide imaging (WSI).
Jincheng Li +6 more
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Breast cancer survival prediction using an automated mitosis detection pipeline [PDF]
The Journal of Pathology: Clinical ResearchMitotic count (MC) is the most common measure to assess tumor proliferation in breast cancer patients and is highly predictive of patient outcomes. It is, however, subject to inter‐ and intraobserver variation and reproducibility challenges that may ...
Nikolas Stathonikos +6 more
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How Cells Handle DNA Breaks during Mitosis: Detection, Signaling, Repair, and Fate Choice [PDF]
Cells, 2019 Mitosis is controlled by a complex series of signaling pathways but mitotic control following DNA damage remains poorly understood. Effective DNA damage sensing and repair is integral to survival but is largely thought to occur primarily in interphase ...
Ruth Thompson +2 more
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Mitosis detection in breast cancer histological images An ICPR 2012 contest [PDF]
Journal of Pathology Informatics, 2013 Introduction: In the framework of the Cognitive Microscope (MICO) project, we have set up a contest about mitosis detection in images of H and E stained slides of breast cancer for the conference ICPR 2012. Mitotic count is an important parameter for the
Ludovic Roux +9 more
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A Novel CAD System for Mitosis detection Using Histopathology Slide Images [PDF]
Journal of Medical Signals and Sensors, 2014 Histopathology slides are one of the most applicable resources for pathology studies. As observation of these kinds of slides even by skillful pathologists is a tedious and time-consuming activity, computerizing this procedure aids the experts to have ...
Ashkan Tashk +3 more
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A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks [PDF]
IEEE Journal of Translational Engineering in Health and Medicine, 2017 Mitotic count is an important diagnostic factor in breast cancer grading and prognosis. Detection of mitosis in breast histopathology images is very challenging mainly due to diffused intensities along object boundary and shape variation in different ...
K. Sabeena Beevi +2 more
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Quadra Sense: A Fusion of Deep Learning Classifiers for Mitosis Detection in Breast Cancer Histopathology [PDF]
DiagnosticsBackground/Objectives: The difficulties caused by breast cancer have been addressed in a number of ways. Since it is said to be the second most common cause of death from cancer among women, early intervention is crucial.
Afnan M. Alhassan, Nouf I. Altmami
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