Titlebook: Digital Pathology; 15th European Congre Constantino Carlos Reyes-Aldasoro,Andrew Janowczyk Conference proceedings 2019 Springer Nature Swit

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Nick Bassiliades,Georg Gottlob,Dumitru Romane. Tumor buds are representing an invasive pattern and are frequently investigated as a new diagnostic factor for measuring the aggressiveness of colorectal cancer. However, counting the number of buds under the microscope in a high power field by eyeballing is a strenuous, lengthy and error-prone t

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https://doi.org/10.1007/978-3-030-23937-4Digital pathology; histology; machine learning; Artificial Intelligence; segmentation; image analysis; act

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PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classificationnstruct a large pan-cancer dataset for nuclei instance segmentation and classification, with minimal sampling bias. The dataset consists of 455 visual fields, of which 312 are randomly sampled from more than 20K whole slide images at different magnifications, from multiple data sources. In total the