Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis

Biomedical image segmentation plays a pivotal role in medical imaging, facilitating precise identification and delineation of anatomical structures and abnormalities. This review explores the application of the Denoising Diffusion Probabilistic Model (DDPM) in the realm of biomedical image segmentat...

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Bibliographic Details
Published in:	Applied Sciences
Main Authors:	Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	biomedical image segmentation Denoising Diffusion Probabilistic Models probabilistic generative model
Online Access:	https://www.mdpi.com/2076-3417/14/2/632

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