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Practical machine learning for disease diagnosis

Huw Summers Orcid Logo

Cell Reports Methods, Volume: 1, Issue: 6, Start page: 100103

Swansea University Author: Huw Summers Orcid Logo

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Abstract

Deep learning neural networks are a powerful tool in the analytical toolbox of modern microscopy, but they come with an exacting requirement for accurately annotated, ground truth cell images. Otesteanu et al. (2021) elegantly streamline this process, implementing network training by using patient-l...

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Published in: Cell Reports Methods
ISSN: 2667-2375
Published: Elsevier BV 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58659
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Abstract: Deep learning neural networks are a powerful tool in the analytical toolbox of modern microscopy, but they come with an exacting requirement for accurately annotated, ground truth cell images. Otesteanu et al. (2021) elegantly streamline this process, implementing network training by using patient-level rather than cell-level disease classification.
College: College of Engineering
Issue: 6
Start Page: 100103