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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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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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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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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MitoDet: Simple and Robust Mitosis Detection [PDF]
, 2022 Mitotic figure detection is a challenging task in digital pathology that has a direct impact on therapeutic decisions. While automated methods often achieve acceptable results under laboratory conditions, they frequently fail in the clinical deployment phase. This problem can be mainly attributed to a phenomenon called domain shift. An important source
Jakob Dexl +4 more
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Virtual Staining for Mitosis Detection in Breast Histopathology [PDF]
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020 We propose a virtual staining methodology based on Generative Adversarial Networks to map histopathology images of breast cancer tissue from H&E stain to PHH3 and vice versa. We use the resulting synthetic images to build Convolutional Neural Networks (CNN) for automatic detection of mitotic figures, a strong prognostic biomarker used in routine ...
Mercan, C. +6 more
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Contextual Prior Constrained Deep Networks for Mitosis Detection With Point Annotations
IEEE Access, 2021 We study the problem of training an accurate deep learning mitosis detection model with only point annotations. To address this challenging label-efficient deep learning problem, we propose a novel contextual prior constraint mechanism and spatial area ...
Jiangxiao Han, Xinggang Wang, Wenyu Liu
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A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern
IEEE Access, 2022 Estimating mitotic nuclei in breast cancer samples can aid in determining the tumor’s aggressiveness and grading system. Because of their strong resemblance to non-mitotic nuclei and heteromorphic form, automated evaluation of mitotic nuclei is ...
Saeed Iqbal, Adnan N. Qureshi
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