Developing classification and segmentation algorithms for GAN-generated mammographic artifacts based on radiologist annotation-Reference-Cited by-同舟云学术

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Developing classification and segmentation algorithms for GAN-generated mammographic artifacts based on radiologist annotation

Published:2024-04-02 Issue: Volume:5 Page:52
ISSN:
Container-title:Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications
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Author:

Mustafaev Tamerlan,Nishikawa Robert,Lee Juhun

Publisher

SPIE

Reference7 articles.

1. Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer

2. Impact of GAN artifacts for simulating mammograms on identifying mammographically occult cancer

3. Image-to-Image Translation with Conditional Adversarial Networks;Isola;ArXiv, (2016). Accessed August,2023

4. CIBC (2016). Seg3D: Volumetric Image Segmentation and Visualization. Scientific Computing and Imaging Institute (SCI), Download from: http://www.seg3d.org

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