Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05143-w.pdf
Reference44 articles.
1. Wang K, Zhang X, Zhang X et al (2022) EANet: iterative edge attention network for medical image segmentation. Pattern Recogn 127:108636
2. Rahman A, Valanarasu JMJ, Hacihaliloglu I, Patel VM (2023) Ambiguous Medical Image Segmentation Using Diffusion Models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp 11536–11546
3. Vesal S, Gayo I, Bhattacharya I et al (2022) Domain generalization for prostate segmentation in transrectal ultrasound images: a multi-center study. Med Image Anal 82:102620
4. Xu X, Sanford T, Turkbey B et al (2022) Polar transform network for prostate ultrasound segmentation with uncertainty estimation. Med Image Anal 78:102418
5. Xu X, Lian C, Wang S et al (2021) Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Med Image Anal 72:102116
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