Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis-Reference-Cited by-同舟云学术

Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis

Published:2023-10-02 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Nguyen Thanh-Huy¹,Kha Quang Hien²,Ngoc Toan Truong Thai³,Lam Ba Thinh⁴,Hung Ngo Ba⁵,Dinh Quang Vinh⁶,Quoc Khanh Le Nguyen²

Affiliation:

1. National Cheng Kung University,Department of Biomedical Engineering,Taiwan

2. Taipei Medical University,College of Medicine,International Ph.D. Program in Medicine,Taiwan

3. Ho Chi Minh City International University,Vietnam

4. Saigon Precision Medicine Research Center (SAIGONMEC),Vietnam

5. Chonnam National University,Graduate School of Data Science,Korea

6. Vietnamese-German University,Vietnam

Publisher

IEEE

Link

Reference32 articles.

1. Deep learning using rectified linear units (relu);Fred Agarap

5. Improved regularization of convolutional neural networks with cutout;DeVries,2017

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2. SFEMAU2-Net: An Improved Saliency Mongolian Pattern Detection Algorithm for U2-Net;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24