Diffusion models in medical imaging: A comprehensive survey-Reference-Cited by-同舟云学术

Diffusion models in medical imaging: A comprehensive survey

Published:2023-08 Issue: Volume:88 Page:102846
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Kazerouni Amirhossein^ORCID,Aghdam Ehsan Khodapanah,Heidari Moein^ORCID,Azad Reza,Fayyaz Mohsen^ORCID,Hacihaliloglu Ilker^ORCID,Merhof Dorit^ORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference192 articles.

1. Diffusion-based representation learning;Abstreiter,2021

2. Attention swin U-net: Cross-contextual attention mechanism for skin lesion segmentation;Aghdam,2022

3. Diffusion-based data augmentation for skin disease classification: Impact across original medical datasets to fully synthetic images;Akrout,2023

4. The role of generative adversarial network in medical image analysis: an in-depth survey;AlAmir;ACM Comput. Surv.,2022

5. The role of generative adversarial networks in brain MRI: a scoping review;Ali;Insights Imaging,2022

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