Testing Segmentation Popular Loss and Variations in Three Multiclass Medical Imaging Problems
Image structures are segmented automatically using deep learning (DL) for analysis and processing. The three most popular base loss functions are cross entropy (crossE), intersect-over-the-union (IoU), and dice. Which should be used, is it useful to consider simple variations, such as modifying form...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/7/2/16 |