2026-10-09T20:38:19Z https://board.unimib.it/oai

oai:board.unimib.it/c36ywkzrm9.1 2024-02-16T07:37:24Z

L'Imperio, Vincenzo Improving the annotation process in computational pathology: from manual to semi-automatic approaches in digital nephropathology Bicocca Open Archive Research Data The development of reliable artificial intelligence (AI) algorithms in pathology depends on solid ground truth provided by meticulous annotation of whole slide images (WSI), a time-consuming and operator-dependent process. A benchmark of the available annotation tools is performed to standardize and streamline this process. Pathology Digital Pathology Anatomical Pathology Cazzaniga, Giorgio Dataset doi:10.17632/c36ywkzrm9.1 oai:board.unimib.it/c36ywkzrm9.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://board.unimib.it/datasets/c36ywkzrm9 2024-02-16T07:37:24Z