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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Detalhes bibliográficos

Principais autores:	Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-01-01
coleção:	Applied Sciences
Assuntos:	biomedical image segmentation Denoising Diffusion Probabilistic Models probabilistic generative model
Acesso em linha:	https://www.mdpi.com/2076-3417/14/2/632
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