Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques-Reference-Cited by-同舟云学术

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Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies
language:
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Author:

Peregrino Lucca¹,Gomes Jordy¹,G. do Rêgo Thaís¹,Barbosa Yuri¹,Filho Telmo²,Maidment Andrew³,Barufaldi Bruno³

Affiliation:

1. Center of Informatics, Federal University of Paraíba, João Pessoa, Brazil, --- Select a Country ---

2. Department of Statistics, Federal University of Paraíba, João Pessoa, Brazil, --- Select a Country ---

3. Department of Radiology, University of Pennsylvania, 3640 Hamilton Walk, Philadelphia PA, U.S.A., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 3 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. Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials;Pattern Recognition;2024-09

2. A Metaverse text recognition model based on character-level contrastive learning;Applied Soft Computing;2023-12

3. Computer simulations of case difficulty in digital breast tomosynthesis using virtual clinical trials;Medical Physics;2022-03-04

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