Eye to AI: MR image analysis of glioma using machine learnin

SR van der Voort

Eye to AI: MR image analysis of glioma using machine learnin

SR van der Voort

Radiotherapy

Research output: Types of Thesis › Doctoral Thesis › Internal

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Abstract

The treatment of glioma often requires tissue analysis from a biopsy or resection. In this thesis, we have explored machine learning methods to analyze the tumour characteristics based on the MRI scans of the patients.

Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Niessen, WJ, Supervisor, External person Smits, M, Supervisor Klein, S., Co-supervisor, External person
Award date	26 Oct 2021
Place of Publication	Rotterdam
Print ISBNs	978-94-6423-397-1
Publication status	Published - 26 Oct 2021

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title = "Eye to AI: MR image analysis of glioma using machine learnin",

abstract = "The treatment of glioma often requires tissue analysis from a biopsy or resection. In this thesis, we have explored machine learning methods to analyze the tumour characteristics based on the MRI scans of the patients.",

author = "{van der Voort}, SR",

year = "2021",

month = oct,

day = "26",

language = "English",

isbn = "978-94-6423-397-1",

school = "Erasmus University Rotterdam",

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TY - BOOK

T1 - Eye to AI

T2 - MR image analysis of glioma using machine learnin

AU - van der Voort, SR

PY - 2021/10/26

Y1 - 2021/10/26

N2 - The treatment of glioma often requires tissue analysis from a biopsy or resection. In this thesis, we have explored machine learning methods to analyze the tumour characteristics based on the MRI scans of the patients.

AB - The treatment of glioma often requires tissue analysis from a biopsy or resection. In this thesis, we have explored machine learning methods to analyze the tumour characteristics based on the MRI scans of the patients.

M3 - Doctoral Thesis

SN - 978-94-6423-397-1

CY - Rotterdam

ER -

Eye to AI: MR image analysis of glioma using machine learnin

Abstract

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