Artificial intelligence for imaging in immunotherapy

Stefano Trebeschi

doi:10.26481/dis.20210322st

Artificial intelligence for imaging in immunotherapy

Stefano Trebeschi

Research output: Thesis › Doctoral Thesis › Internal

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Abstract

Immunotherapy is currently given to cancer patients in advanced stages. As the disease has spread across the body, radiological CT scans remain the only tool available to examine all organs. This system is complex, time-consuming, and incompatible with the fast-pace treatment decision-making needed for advanced-stage cancer patients. This thesis proposes the use of artificial intelligence in the examination of imaging in advanced-stage patients receiving immunotherapy, making maximal use of the information contained in a CT scan.

Original language	English
Awarding Institution	Maastricht University
Supervisors/Advisors	Beets - Tan, Regina, Supervisor Aerts, Hugo, Supervisor
Award date	22 Mar 2021
Place of Publication	Maastricht
Publisher	Maastricht University
Print ISBNs	9789464191615
DOIs	https://doi.org/10.26481/dis.20210322st
Publication status	Published - 2021

Keywords

artificial intelligence
radiomics
immunotherapy
oncology
imaging
radiology

Access to Document

10.26481/dis.20210322st

Full TextFinal published version, 27.5 MB
CoverFinal published version, 23.3 MB
AbstractFinal published version, 100 KB
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Cite this

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KW - artificial intelligence

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KW - immunotherapy

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