Pathomics and Deep Learning Classification of a Heterogeneous Fluorescence Histology Image Dataset

Pathomics and Deep Learning Classification of a Heterogeneous Fluorescence Histology Image Dataset

Automated pathology image classification through modern machine learning (ML) techniques in quantitative microscopy is an emerging AI application area aiming to alleviate the increased workload of pathologists and improve diagnostic accuracy and consistency. However, there are very few efforts focus...

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Bibliographic Details
Main Authors: Georgios S. Ioannidis, Eleftherios Trivizakis, Ioannis Metzakis, Stilianos Papagiannakis, Eleni Lagoudaki, Kostas Marias
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
fluorescence image classification
pathomics
machine learning
transfer learning
deep learning
Online Access:https://www.mdpi.com/2076-3417/11/9/3796

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