When seeing is not believing: application-appropriate validation matters for quantitative bioimage analysis
A key step toward biologically interpretable analysis of microscopy image-based assays is rigorous quantitative validation with metrics appropriate for the particular application in use. Here we describe this challenge for both classical and modern deep learning-based image analysis approaches and d...
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| Published in: | Nature methods Vol. 20; no. 7; pp. 968 - 970 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Nature Publishing Group US
01.07.2023
Nature Publishing Group |
| Subjects: | |
| ISSN: | 1548-7091, 1548-7105, 1548-7105 |
| Online Access: | Get full text |
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