Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound: A Novel Approach

The author develops a 3D deep neural network with attention modules to enhance prostate segmentation in TRUS images by refining features at each layer. The approach leverages multi-level features to improve segmentation accuracy.