no code implementations • 2 Jan 2024 • Subin Sahayam, Umarani Jayaraman
Compared to the baseline U-Net and its variants, the models that learned edges along with the tumor regions performed well in core tumor regions in both training and validation datasets.
1 code implementation • 7 Apr 2023 • Subin Sahayam, John Zakkam, Umarani Jayaraman
The deep neural networks used in the study are ResNet-18, ResNet-50, Efficient Net B4, EfficientNetV2-S, and MobilenetV3-S.
1 code implementation • 21 Aug 2020 • Dusa Sai Charan, Hemanth Nadipineni, Subin Sahayam, Umarani Jayaraman
In this project, an automated model for skin lesion classification using dermoscopic images has been developed with CNN(Convolution Neural Networks) as a training model.
Ranked #3 on Lesion Classification on HAM10000