Papers › Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Yading Yuan
This paper summarizes our method and validation results for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part I: Lesion Segmentation
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Lesion Segmentation | ISIC 2017 | Automatic skin lesion segmentation with fully convolutional-deconvolutional networks | Mean IoU | 0.765 | #1 of 1 | Archive leaderboard | report |
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