Interpretability and annotation scarcity in deep medical image segmentation

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Interpretability and annotation scarcity in deep medical image segmentation

This thesis presents an exploration into the challenges of medical image segmentation, particularly focusing on reliability, interpretability, and strong annotation sparcity, through the use of tailored loss functions. It tackles three primary issues: 1) enhancing segmentation output quality 2) addr...

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Bibliographic Details
Main Author:	Khalili Zadeh Mahani, Golnar
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	deep medical image segmentation diagnostic imaging image processing
Online Access:	https://eprints.nottingham.ac.uk/78836/

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