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Skin Lesion Classification 벤치마크

Skin Lesion Classification on PAD-UFES-20

3개 결과 · ⬇ CSV · JSON

Balanced Accuracy

0.74 0.7488 0.7575 0.7662 0.775 2021-02 2026-09 CNN + Metablock — 0.77 (2021-02-26) ViT+ Multimodality Cross-Attention Module — 0.775 (2022-10-04) LiwTERM model — 0.74 (2024-10-18) CNN + Metablock — 0.77 (2021-02-26) ViT+ Multimodality Cross-Attention Module — 0.775 (2022-10-04)
RankModel Balanced Accuracy PaperCodeYear
1 LiwTERM model 0.74 LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection luisouza/liwterm 2024
2 CNN + Metablock 0.77 An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification 2021
3 ViT+ Multimodality Cross-Attention Module 0.775 A deep learning based multimodal fusion model for skin lesion diagnosis using smartphone collected clinical images and metadata 2022
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