Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis
文献类型:期刊论文
作者 | Liu, Zengxin1,2; Ma, Caiwen2; She, Wenji2; Xie, Meilin2 |
刊名 | APPLIED SCIENCES-BASEL |
出版日期 | 2024-01 |
卷号 | 14期号:2 |
ISSN号 | 2076-3417 |
关键词 | biomedical image segmentation Denoising Diffusion Probabilistic Models probabilistic generative model |
DOI | 10.3390/app14020632 |
产权排序 | 1 |
英文摘要 | 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 segmentation. DDPM, a probabilistic generative model, has demonstrated promise in capturing complex data distributions and reducing noise in various domains. In this context, the review provides an in-depth examination of the present status, obstacles, and future prospects in the application of biomedical image segmentation techniques. It addresses challenges associated with the uncertainty and variability in imaging data analyzing commonalities based on probabilistic methods. The paper concludes with insights into the potential impact of DDPM on advancing medical imaging techniques and fostering reliable segmentation results in clinical applications. This comprehensive review aims to provide researchers, practitioners, and healthcare professionals with a nuanced understanding of the current state, challenges, and future prospects of utilizing DDPM in the context of biomedical image segmentation. |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001149358200001 |
源URL | [http://ir.opt.ac.cn/handle/181661/97185] |
专题 | 西安光学精密机械研究所_光电测量技术实验室 |
通讯作者 | Ma, Caiwen |
作者单位 | 1.Univ Chinese Acad Sci, Sch Optoelect, Beijing 101408, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Zengxin,Ma, Caiwen,She, Wenji,et al. Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis[J]. APPLIED SCIENCES-BASEL,2024,14(2). |
APA | Liu, Zengxin,Ma, Caiwen,She, Wenji,&Xie, Meilin.(2024).Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis.APPLIED SCIENCES-BASEL,14(2). |
MLA | Liu, Zengxin,et al."Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis".APPLIED SCIENCES-BASEL 14.2(2024). |
入库方式: OAI收割
来源:西安光学精密机械研究所
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