Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound-Reference-Cited by-同舟云学术

Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound

Published:2023 Issue: Volume: Page:79-88
ISSN:0302-9743
Container-title:Simplifying Medical Ultrasound
language:
Short-container-title:

Author:

Zhou Yuyue,Knight Jessica,Felfeliyan Banafshe,Ghosh Shrimanti,Alves-Pereira Fatima,Keen Christopher,Hareendranathan Abhilash Rakkunedeth,Jaremko Jacob L.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-44521-7_8

Reference31 articles.

1. Almalki, A., Latecki, L.J.: Self-supervised learning with masked image modeling for teeth numbering, detection of dental restorations, and instance segmentation in dental panoramic radiographs. In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 5583–5592. IEEE (2023)

2. Caron, M., Misra, I., Mairal, J., Goyal, P., Bojanowski, P., Joulin, A.: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, June 2020. https://doi.org/10.48550/arXiv.2006.09882

3. Champagne, N., Eadie, L., Regan, L., Wilson, P.: The effectiveness of ultrasound in the detection of fractures in adults with suspected upper or lower limb injury: a systematic review and subgroup meta-analysis. BMC Emergency Med. 19(1), 17 (2019)

4. Chen, J., et al.: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation, February 2021. https://doi.org/10.48550/arXiv.2102.04306, arXiv:2102.04306 [cs]

5. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A Simple Framework for Contrastive Learning of Visual Representations, February 2020. https://doi.org/10.48550/arXiv.2002.05709

Cited by 1 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. Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27