Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia.
Multiple studies within the medical field have highlighted the remarkable effectiveness of using convolutional neural networks for predicting medical conditions, sometimes even surpassing that of medical professionals. Despite their great performance, convolutional neural networks operate as black b...
| Published in: | Journal of Imaging Informatics in Medicine Vol. 38; no. 1; pp. 177 - 191 |
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| Main Authors: | , , , , , , |
| Format: | diagnostic images pictorial tables/charts Journal Article |
| Published: |
Springer Nature
Feb2025
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| Online Access: | View this record in EBSCOhost |