3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in skin-lesion-identification
No benchmarks available.
Use these libraries to find skin-lesion-identification models and implementations
No datasets available.
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This work proposes a highly accurate and efficient one-stage lesion detector, by re-designing a RetinaNet to meet the particular challenges in medical imaging, and optimize the anchor configurations using a differential evolution search algorithm.
The aim in this paper was not to maximize performance, but it was found that it was easy to reach AUCs comparable to the first place on the ISIC Challenge 2017, and found that random choice was also competitive.
Adding a benchmark result helps the community track progress.