PRIVACY-PRESERVING EFFICIENT FEDERATED DEEP LEARNING MODEL FOR SKIN LESION CLASSIFICATION /
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Korporativna značnica: | |
| Format: | Knjiga |
| Jezik: | angleščina |
| Izdano: |
Dhaka :
CSE DEPT. MIST,
c2026.
|
| Teme: | |
| Oznake: |
Brez oznak, prvi označite!
|
Podobne knjige/članki: 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 /