Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models-Reference-Cited by-同舟云学术

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Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models

Published:2023-10-26 Issue: Volume: Page:52-61
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Okel Sanne E.,Viviers Christiaan G. A.,Ramaekers Mark,Hellström Terese A. E.,Tasios Nick,Mavroeidis Dimitrios,Pluyter Jon,Jacobs Igor,Luyer Misha,de With Peter H. N.,van der Sommen Fons

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47076-9_6

Reference30 articles.

1. Benenson, R., Popov, S., Ferrari, V.: Large-scale interactive object segmentation with human annotators. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11700–11709 (2019)

2. Briganti, G., Le Moine, O.: Artificial intelligence in medicine: today and tomorrow. Front. Med. 7, 27 (2020)

3. Chen, W., Huang, H., Huang, J., Wang, K., Qin, H., Wong, K.K.: Deep learning-based medical image segmentation of the aorta using xr-msf-u-net. Comput. Methods Prog. Biomed. 225, 107073 (2022)

4. Chen, X., Zhao, Z., Yu, F., Zhang, Y., Duan, M.: Conditional diffusion for interactive segmentation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 7345–7354 (2021)

5. Chen, X., Zhao, Z., Zhang, Y., Duan, M., Qi, D., Zhao, H.: Focalclick: towards practical interactive image segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1300–1309 (2022)

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