https://github.com/xmichelleshihx/AL_Skin_SAAS
공식 코드An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Papers with Code 아카이브
Skin Lesion Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yaopengustc/mbit-skin-cancer
공식 코드Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
https://github.com/zylbuaa/ecl
공식 코드ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
https://github.com/MS-Mind/MS-Code-06/tree/main/pnasnet
https://github.com/MindSpore-paper-code-2/code2/tree/main/pnasnet
https://github.com/aayushmanace/patchalign24
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
https://github.com/aryan-satpathy/backdoor
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
https://github.com/luisouza/liwterm
https://github.com/nafiuny/Optimized_TumorClassifierResNetSD
https://github.com/ngessert/isic2019
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data
https://github.com/xandery-geek/BackdoorAttacks
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.