US-Net: A Breast Ultrasound Image Segmentation using Deep Learning-Reference-Cited by-同舟云学术

US-Net: A Breast Ultrasound Image Segmentation using Deep Learning

Published:2023-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Advances in Social Networks Analysis and Mining
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Author:

Erragzi Nouhaila¹^ORCID,Zrira Nabila²^ORCID,Jimi Anwar³^ORCID,Benmiloud Ibtissam³^ORCID,Sebihi Rajaa¹^ORCID,Ngote Nabil⁴⁵^ORCID

Affiliation:

1. Department of Physics, Faculty of sciences, Mohammed V University, Rabat, Morocco

2. ADOS Team, LISTD Laboratory, National Superior School of Mines, Rabat, Morocco

3. MECAtronique Team, CPS2E Laboratory, National Superior School of Mines, Rabat, Morocco

4. National Superior School of Mines, Rabat, Morocco

5. Abulcasis International University of Health Sciences, Rabat, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625007.3627304

Reference22 articles.

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3. B. Lei S. Huang H. Li R. Li C. Bian Y.-H. Chou J. Qin P. Zhou X. Gong and J.-Z. Cheng "Self-co-attention neural network for anatomy segmentation in whole breast ultrasound " vol. 64 p. 101753.

4. M. Xian, Y. Zhang, H. D. Cheng, F. Xu, B. Zhang, and J. Ding, "Automatic breast ultrasound image segmentation: A survey," vol. 79, pp. 340--355.

5. A. Jimi, H. Abouche, N. Zrira, and I. Benmiloud, "Automated skin lesion segmentation using vgg-unet," in 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 370--377, IEEE, 2022.

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