Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification

no code implementations • 17 Apr 2024 • Mohammad Shiri, Monalika Padma Reddy, Jiangwen Sun

We present a novel approach, Supervised Contrastive Vision Transformer (SupCon-ViT), for improving the classification of invasive ductal carcinoma in terms of accuracy and generalization by leveraging the inherent strengths and advantages of both transfer learning, i. e., pre-trained vision transformer, and supervised contrastive learning.

Classification Contrastive Learning +4