AW-Net
Author:
Affiliation:
1. Université Paris-Saclay, Palaiseau, France
2. French Institute of Sport (INSEP), Paris, France
Funder
Agence Nationale de la Recherche
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459930.3469531
Reference19 articles.
1. A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation
2. Deep Residual Networks for Quantification of Muscle Fiber Orientation and Curvature from Ultrasound Images
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Topology‐preserving segmentation of abdominal muscle layers from ultrasound images;Medical Physics;2024-09-06
2. MSCA-UNet: multi-scale channel attention-based UNet for segmentation of medical ultrasound images;Cluster Computing;2024-03-07
3. Automatic extraction and measurement of ultrasonic muscle morphological parameters based on multi-stage fusion and segmentation;Ultrasonics;2024-02
4. Inverse Pyramid Pooling Attention for Ultrasonic Image Signal Recognition;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
5. Automatic Analysis of Transverse Musculoskeletal Ultrasound Images Based on the Multi-Task Learning Model;Entropy;2023-04-14
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