Digital Pathology: A Comprehensive Review of Open-Source Histological Segmentation Software

Digital Pathology: A Comprehensive Review of Open-Source Histological Segmentation Software

In the era of digitalization, the biomedical sector has been affected by the spread of artificial intelligence. In recent years, the possibility of using deep and machine learning methods for clinical diagnostic and therapeutic interventions has been emerging as an essential resource for biomedical...

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Bibliographic Details
Main Authors: Anna Maria Pavone, Antonino Giulio Giannone, Daniela Cabibi, Simona D’Aprile, Simona Denaro, Giuseppe Salvaggio, Rosalba Parenti, Anthony Yezzi, Albert Comelli
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:BioMedInformatics
Subjects:
segmentation
digital pathology
deep learning
machine learning
open-source software
histological segmentation
Online Access:https://www.mdpi.com/2673-7426/4/1/12

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