Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach-Reference-Cited by-同舟云学术

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Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach

Published:2024-08 Issue: Volume:161 Page:111714
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Prusty Manas Ranjan^ORCID,Sudharsan Rohit Madhavan,Anand Philip

Publisher

Elsevier BV

Reference62 articles.

1. Denoising diffusion probabilistic models for 3D medical image generation;Khader;Sci. Rep.,2023

2. Z. Chen, N. Ma, and B. Liu, “Lifelong Learning for Sentiment Classification.” arXiv, Jan. 09, 2018. doi: 10.48550/arXiv.1801.02808.

3. Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation;Jeong;J. Digit. Imaging,2022

4. Self-supervised learning in medicine and healthcare;Krishnan;Nat. Biomed. Eng.,2022

5. Attention mechanisms and their applications to complex systems;Hernández;Entropy,2021

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