activity
20222025
most citedSurpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

3 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2025★ 1 cited

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

Chetan Madan, Aarjav Satia, Soumen Basu +3

Masked Autoencoders (MAEs) have emerged as a dominant strategy for self-supervised representation learning in natural images, where models are pre-trained to reconstruct masked pat…

cs.CV2024

LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image

Chetan Madan, Mayuna Gupta, Soumen Basu +2

We focus on the problem of Gallbladder Cancer (GBC) detection from Ultrasound (US) images. The problem presents unique challenges to modern Deep Neural Network (DNN) techniques due…

eess.IV2024★ 1 cited

FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders

Soumen Basu, Mayuna Gupta, Chetan Madan +2

In recent years, automated Gallbladder Cancer (GBC) detection has gained the attention of researchers. Current state-of-the-art (SOTA) methodologies relying on ultrasound sonograph…

cs.CV2023★ 1 cited

Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Soumen Basu, Ashish Papanai, Mayank Gupta +2

Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) images is an important problem, which has drawn increased interest from researchers. However, most of these wor…

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…