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

1 code implementation • 13 Mar 2024 • Soumen Basu, Mayuna Gupta, Chetan Madan, Pankaj Gupta, Chetan Arora

We validate the proposed methods on the curated dataset, and report a new state-of-the-art (SOTA) accuracy of 96. 4% for the GBC detection problem, against an accuracy of 84% by current Image-based SOTA - GBCNet, and RadFormer, and 94. 7% by Video-based SOTA - AdaMAE.

Gallbladder Cancer Detection Representation Learning