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A Petri Dish for Histopathology Image Analysis
Conference on Artificial Intelligence in Medicine in Europe, 2021With the rise of deep learning, there has been increased interest in using neural networks for histopathology image analysis, a field that investigates the properties of biopsy or resected specimens that are traditionally manually examined under a ...
Jerry W. Wei +11 more
semanticscholar +1 more source
2016
The detection of fungal elements and their characterization in patient specimens provides fundamental information. On histological sections fungi are most frequently seen on skin or mucosal surfaces or as mycotic thrombi or emboli that can occlude both arteries and veins in surgical specimen from immunocompromised patients or tissues obtained from ...
openaire +2 more sources
The detection of fungal elements and their characterization in patient specimens provides fundamental information. On histological sections fungi are most frequently seen on skin or mucosal surfaces or as mycotic thrombi or emboli that can occlude both arteries and veins in surgical specimen from immunocompromised patients or tissues obtained from ...
openaire +2 more sources
Siloed Federated Learning for Multi-Centric Histopathology Datasets
DART/DCL@MICCAI, 2020While federated learning is a promising approach for training deep learning models over distributed sensitive datasets, it presents new challenges for machine learning, especially when applied in the medical domain where multi-centric data heterogeneity ...
M. Andreux +3 more
semanticscholar +1 more source
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images
IEEE Transactions on Medical Imaging, 2020An attention guided convolutional neural network (CNN) for the classification of breast cancer histopathology images is proposed. Neural networks are generally applied as black box models and often the network’s decisions are difficult to interpret ...
Heechang Yang +3 more
semanticscholar +1 more source
Coronavirus disinfection in histopathology
Journal of Histotechnology, 2020The 2019 Coronavirus epidemic, provisionally called 2019-nCoV, was first identified in Wuhan, China, in persons exposed to a seafood or wet market. There is an international push to contain the virus and prevent its spread.
A. Henwood
semanticscholar +1 more source
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Nature Cancer, 2022Artem Shmatko +3 more
semanticscholar +1 more source
Deep learning in histopathology: the path to the clinic
Nature Medicine, 2021J. A. van der Laak +2 more
semanticscholar +1 more source
2017
Histopathology first asks: what is histopathology? It then looks at fixation and specimen handling. Topics covered include data recording and histopathology dissection, routine staining, special stains, artefacts, and Mohs procedures. The text moves on to examine immunocytochemical techniques and analytical immunocytochemistry. Next,
+4 more sources
Histopathology first asks: what is histopathology? It then looks at fixation and specimen handling. Topics covered include data recording and histopathology dissection, routine staining, special stains, artefacts, and Mohs procedures. The text moves on to examine immunocytochemical techniques and analytical immunocytochemistry. Next,
+4 more sources