Developing an image-domain transformation technique for adapting deep learning algorithms: preliminary work using simulated tomosynthesis of breast patches-Reference-Cited by-同舟云学术

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Developing an image-domain transformation technique for adapting deep learning algorithms: preliminary work using simulated tomosynthesis of breast patches

Published:2024-04-03 Issue: Volume:10573 Page:58
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Container-title:Medical Imaging 2024: Computer-Aided Diagnosis
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Author:

Hossain Md Belayat,Barufaldi Bruno,Maidment Andrew D. A.,Nishikawa Robert M.,Lee Juhun

Publisher

SPIE

Reference14 articles.

1. Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model

2. Towards backward-compatible representation learning,;Shen,2020

3. Unpaired image-to-image translation using cycle-consistent adversarial networks,;Zhu,2017

4. Openvct: a gpu-accelerated virtual clinical trial pipeline for mammography and digital breast tomosynthesis,;Barufaldi;[Medical Imaging 2018: Physics of Medical Imaging],2018

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