3D EAGAN: 3D edge-aware attention generative adversarial network for prostate segmentation in transrectal ultrasound images

no code implementations • 7 Nov 2023 • Mengqing Liu, Xiao Shao, Liping Jiang, Kaizhi Wu

The proposed EASNet is composed of an encoder-decoder-based U-Net backbone network, a detail compensation module, four 3D spatial and channel attention modules, an edge enhance module, and a global feature extractor.

Decoder Generative Adversarial Network +1