PRIVACY-PRESERVING EFFICIENT FEDERATED DEEP LEARNING MODEL FOR SKIN LESION CLASSIFICATION /
Na minha lista:
| Autor principal: | |
|---|---|
| Autor Corporativo: | |
| Formato: | Livro |
| Idioma: | inglês |
| Publicado em: |
Dhaka :
CSE DEPT. MIST,
c2026.
|
| Assuntos: | |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|
Registos relacionados: PRIVACY-PRESERVING EFFICIENT FEDERATED DEEP LEARNING MODEL FOR SKIN LESION CLASSIFICATION /
- ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
- SKIN LESION ANALYSIS USING HYBRID MACHINE LEARNING TECHNIQUES FOR EARLY DETECTION OF SKIN CANCER /
- A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /
- DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
- MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION /
- ADVERSARIAL-AWARE BI-LEVEL UNET AND SEMI-SUPERVISED LEARNING FOR ENHANCING SKIN LESION SEGMENTATION /