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.

Generative Adversarial Network Segmentation

Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech

no code implementations • 10 Aug 2022 • Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, Yuqing Yang, Dongsheng Li, Xudong Wang, Lili Qiu

Specifically, we first pre-train an encoder-decoder framework in an automatic speech recognition (ASR) objective by using speech-to-text dataset, and then fine-tune ASR encoder on the cleft palate dataset for hypernasality estimation.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1