Fine Tuning U-Net for Ultrasound Image Segmentation: Which Layers?-Reference-Cited by-同舟云学术

Fine Tuning U-Net for Ultrasound Image Segmentation: Which Layers?

Published:2019 Issue: Volume: Page:235-242
ISSN:0302-9743
Container-title:Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
language:
Short-container-title:

Author:

Amiri Mina^ORCID,Brooks Rupert^ORCID,Rivaz Hassan^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33391-1_27

Reference14 articles.

1. Alsinan, A.Z., Patel, V.M., Hacihaliloglu, I.: Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN. Int. J. Comput. Assist. Radiol. Surg. (2019). https://doi.org/10.1007/s11548-019-01934-0

2. van Ginneken, B., Stegmann, M., Loog, M.: Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Med. Image Anal. 10(1), 19–40 (2006)

3. Kotikalapudi, R., contributors: keras-vis (2017). https://github.com/raghakot/keras-vis

4. LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436 (2015). https://doi.org/10.1038/nature14539

5. Looney, P., et al.: Fully automated, real-time 3D ultrasound segmentation to estimate first trimester placental volume using deep learning. JCI Insight 3(11) (2018). https://insight.jci.org/articles/view/120178

Cited by 18 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. Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation;International Journal of Medical Informatics;2024-11

2. Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images;PLOS ONE;2024-03-29

3. A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification;Neural Computing and Applications;2023-12-10

4. Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images;2023-10-23

5. RMAU-Net: Breast Tumor Segmentation Network Based on Residual Depthwise Separable Convolution and Multiscale Channel Attention Gates;Applied Sciences;2023-10-16