Cross-ViT with masksemble for uncertainity estimation in Skin Cancer Diagnosis
Cross-ViT with masksemble for uncertainity estimation in Skin Cancer Diagnosis

We proposed Cross-ViT with a special Masksemble Block in order to create discriminative image features. The Masksemble layer estimates the uncertainty of a given dermatoscopy image that plays a crucial role in cancer identification, and then it is passed to the Cross ViT network for the classification task.
Cancer Prediction Software with Vision Transformer as backend
Cancer Prediction Software with Vision Transformer as backend

Developed and designed Computer Vision based medical image classification and segmentation software with Vision Transformer based architecture as a base model