Article

Optimizing machine learning performance for medical imaging analyses in low-resource environments: The prospects of CNN-based Feature Extractors

2025-01-17

Abstract excerpt

<h4>Background: </h4> Machine learning (ML) algorithms have generally enhanced the speed and accuracy of image-based diagnosis, and treatment strategy planning, compared to the traditional approach of interpreting medical images by experienced radiologists. Convolutional neural networks (CNNs) have been particularly useful in this regard. However, training CNNs come with significant time and computational cost nec...

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Literature Corpus work: 90f8cd4b-2bf7-57e3-a3e5-b2b1f8124abf
DOI: 10.12688/f1000research.156122.1

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