Results 11 to 20 of about 133,809 (280)
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Enhancing mitosis quantification and detection in meningiomas with computational digital pathology [PDF]
Acta Neuropathologica CommunicationsMitosis is a critical criterion for meningioma grading. However, pathologists’ assessment of mitoses is subject to significant inter-observer variation due to challenges in locating mitosis hotspots and accurately detecting mitotic figures.
Hongyan Gu +15 more
doaj +4 more sources
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
openaire +2 more sources
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 ...
Caner Mercan +6 more
openaire +3 more sources