Semi-supervised Learning for Medical Image Segmentation

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Semi-supervised Learning for Medical Image Segmentation

Medical image segmentation is a fundamental step in many computer aided clinical applications, such as tumour detection and quantification, organ measurement and feature learning, etc. However, manually delineating the target of interest on medical images (2D and 3D) is highly labour intensive and t...

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Bibliographic Details
Main Author:	Li, Ruizhe
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	Medical Image Segmentation Medical Image Registration Deep Learning Semi-supervised Learning
Online Access:	https://eprints.nottingham.ac.uk/76648/

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