Medical image segmentation using diffusion models

The dissertation presents an advanced exploration of diffusion models for medi cal image segmentation, incorporating prior knowledge to enhance accuracy and reliability. By integrating anatomical and spatial priors, the model achieves sig nificant improvements in segmenting complex structures within...

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Main Author:	Chen, Shang
Other Authors:	Jiang Xudong
Format:	Thesis-Master by Coursework
Language:	English
Published:	Nanyang Technological University 2024
Subjects:	Engineering
Online Access:	https://hdl.handle.net/10356/175426
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-175426
record_format	dspace
spelling	sg-ntu-dr.10356-1754262024-04-26T16:00:26Z Medical image segmentation using diffusion models Chen, Shang Jiang Xudong School of Electrical and Electronic Engineering EXDJiang@ntu.edu.sg Engineering The dissertation presents an advanced exploration of diffusion models for medi cal image segmentation, incorporating prior knowledge to enhance accuracy and reliability. By integrating anatomical and spatial priors, the model achieves sig nificant improvements in segmenting complex structures within the MPI dataset. This research not only showcases the potential of diffusion models in processing medical images but also highlights the benefits of incorporating domain-specific knowledge into machine learning frameworks. The findings suggest a promising direction for future studies, aiming to further refine diagnostic tools and patient care strategies through innovative computational techniques. Master's degree 2024-04-23T04:41:34Z 2024-04-23T04:41:34Z 2024 Thesis-Master by Coursework Chen, S. (2024). Medical image segmentation using diffusion models. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175426 https://hdl.handle.net/10356/175426 en application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering
spellingShingle	Engineering Chen, Shang Medical image segmentation using diffusion models
description	The dissertation presents an advanced exploration of diffusion models for medi cal image segmentation, incorporating prior knowledge to enhance accuracy and reliability. By integrating anatomical and spatial priors, the model achieves sig nificant improvements in segmenting complex structures within the MPI dataset. This research not only showcases the potential of diffusion models in processing medical images but also highlights the benefits of incorporating domain-specific knowledge into machine learning frameworks. The findings suggest a promising direction for future studies, aiming to further refine diagnostic tools and patient care strategies through innovative computational techniques.
author2	Jiang Xudong
author_facet	Jiang Xudong Chen, Shang
format	Thesis-Master by Coursework
author	Chen, Shang
author_sort	Chen, Shang
title	Medical image segmentation using diffusion models
title_short	Medical image segmentation using diffusion models
title_full	Medical image segmentation using diffusion models
title_fullStr	Medical image segmentation using diffusion models
title_full_unstemmed	Medical image segmentation using diffusion models
title_sort	medical image segmentation using diffusion models
publisher	Nanyang Technological University
publishDate	2024
url	https://hdl.handle.net/10356/175426
_version_	1806059877341069312

Medical image segmentation using diffusion models

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