anindox8/Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Jupyter Notebook
Stargazers
- 5hyfilm-zzChulalongkorn University
- abhishek-mk
- adigasuETS Montreal
- antecedeCNN
- arielcam27Centro de Investigación en Matemáticas
- ashishpatel26IBM
- boussoffara
- burhr2Inria
- ChaiZhifeiF
- DTennantShanghai
- eaglewarrior@IBM@SearsHoldingsIndia @FOSSEE @FractalAnalytics(fractal.ai)
- ElegantLinUCSD / UCSC
- filip-friskStockholm
- ivanvoidTaiwan
- jeannadarkbp
- jockaweilen
- Junkdog216
- kagancbnKaradeniz Technical University
- ligugeBeijing Jiaotong University
- lyu-yy
- masadeghi
- mfeldman3
- Pranabiitp
- qujunrong
- retoga
- Rishiraj01
- shengaoya
- shivaninamani
- sumeetghumare4Maharashtra India
- summerbegin
- taindp98Samsung SDS
- thangnh0608
- vpeopleonatank
- wujinru55
- zhiyouliu
- ZuoFangY