The Value and Challenges of Radiomics Artificial Intelligence for Magnetic Resonance Based Prostate Cancer Imaging

Jeroen Bleker

doi:10.33612/diss.956799847

The Value and Challenges of Radiomics Artificial Intelligence for Magnetic Resonance Based Prostate Cancer Imaging

Jeroen Bleker

Research output: Thesis › Thesis fully internal (DIV)

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Abstract

The accuracy of the diagnosis and detection of prostate cancer is not yet where we want it to be. Radiomics AI can help elevate it to a standard where patients have a smaller chance to be burdened by false positive or false negative results. While useability, reproducibility and generalization are persisting limiting factors, this thesis presents several solutions and shows that radiomics AI has significant value besides traditional visual assessment of prostate cancer.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Groningen
Supervisors/Advisors	Kwee, Thomas, Supervisor Dierckx, Rudi, Supervisor Yakar, Derya, Co-supervisor Huisman, Henkjan, Co-supervisor, External person
Award date	22-Apr-2024
Place of Publication	[Groningen]
Publisher	University of Groningen
DOIs	https://doi.org/10.33612/diss.956799847
Publication status	Published - 2024

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title = "The Value and Challenges of Radiomics Artificial Intelligence for Magnetic Resonance Based Prostate Cancer Imaging",

abstract = "The accuracy of the diagnosis and detection of prostate cancer is not yet where we want it to be. Radiomics AI can help elevate it to a standard where patients have a smaller chance to be burdened by false positive or false negative results. While useability, reproducibility and generalization are persisting limiting factors, this thesis presents several solutions and shows that radiomics AI has significant value besides traditional visual assessment of prostate cancer.",

author = "Jeroen Bleker",

year = "2024",

doi = "10.33612/diss.956799847",

language = "English",

publisher = "University of Groningen",

school = "University of Groningen",

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TY - BOOK

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AU - Bleker, Jeroen

PY - 2024

Y1 - 2024

N2 - The accuracy of the diagnosis and detection of prostate cancer is not yet where we want it to be. Radiomics AI can help elevate it to a standard where patients have a smaller chance to be burdened by false positive or false negative results. While useability, reproducibility and generalization are persisting limiting factors, this thesis presents several solutions and shows that radiomics AI has significant value besides traditional visual assessment of prostate cancer.

AB - The accuracy of the diagnosis and detection of prostate cancer is not yet where we want it to be. Radiomics AI can help elevate it to a standard where patients have a smaller chance to be burdened by false positive or false negative results. While useability, reproducibility and generalization are persisting limiting factors, this thesis presents several solutions and shows that radiomics AI has significant value besides traditional visual assessment of prostate cancer.

U2 - 10.33612/diss.956799847

DO - 10.33612/diss.956799847

M3 - Thesis fully internal (DIV)

PB - University of Groningen

CY - [Groningen]

ER -

The Value and Challenges of Radiomics Artificial Intelligence for Magnetic Resonance Based Prostate Cancer Imaging

Abstract

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