Improving the radiographic image analysis of the classic metaphyseal lesion via conditional diffusion models-Reference-Cited by-同舟云学术

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Improving the radiographic image analysis of the classic metaphyseal lesion via conditional diffusion models

Published:2024-10 Issue: Volume:97 Page:103284
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Wu Shaoju,Kurugol Sila^ORCID,Tsai Andy

Funder

Society for Pediatric Radiology

National Institute of Diabetes and Digestive and Kidney Diseases

National Institutes of Health

National Institute of Child Health and Human Development

National Institute of Biomedical Imaging and Bioengineering

Publisher

Elsevier BV

Reference57 articles.

1. Spot the fake lungs: Generating synthetic medical images using neural diffusion models;Ali,2023

2. ACR–SPR Practice Parameter for the Performance and Interpretation of Skeletal Surveys in Children;American College of Radiology,2016

3. MelanoGANs: High resolution skin lesion synthesis with GANs;Baur,2018

4. Learning implicit brain MRI manifolds with deep learning;Bermudez,2018

5. Avalanche decision schemes to improve pediatric rib fracture detection;Burkow,2022

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