3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
Soumen Basu, Mayank Gupta, Pratyaksha Rana +2
We propose a novel deep neural network architecture to learn interpretable representation for medical image analysis. Our architecture generates a global attention for region of in…
eess.IV2022
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining
Soumen Basu, Somanshu Singla, Mayank Gupta +3
Rich temporal information and variations in viewpoints make video data an attractive choice for learning image representations using unsupervised contrastive learning (UCL) techniq…
cs.CV2022★ 3 cited
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
Soumen Basu, Mayank Gupta, Pratyaksha Rana +2
We explore the potential of CNN-based models for gallbladder cancer (GBC) detection from ultrasound (USG) images as no prior study is known. USG is the most common diagnostic modal…