Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology.

Robust semantic segmentation of tumour micro-environment is one of the major open challenges in machine learning enabled computational pathology. Though deep learning based systems have made significant progress, their task agnostic data driven approach often lacks the contextual grounding necessary...

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Hauptverfasser:	Nirmal Das, Satadal Saha, Mita Nasipuri, Subhadip Basu, Tapabrata Chakraborti
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Public Library of Science (PLoS) 2023-01-01
Schriftenreihe:	PLoS ONE
Online-Zugang:	https://doi.org/10.1371/journal.pone.0286862
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