RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
Sign Up to like & getrecommendations! Published in 2022 at "Medical image analysis"
DOI: 10.48550/arxiv.2211.04793
Abstract: 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 interest, and then learns bag of words style deep feature… read more here.
Keywords: detection; accurate gallbladder; attention; global local ... See more keywords