Automation of radiotherapy treatment planning for breast cancer: Utilizing artificial intelligence for automated segmentation and planning

Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

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Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Electrical Engineering
Supervisors/Advisors	Hurkmans, Coen, Promotor Bluemink, J.J., Copromotor
Award date	19 Sept 2024
Place of Publication	Eindhoven
Publisher	Eindhoven University of Technology
Print ISBNs	978-90-386-6097-4
Publication status	Published - 19 Sept 2024

Proefschrift.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@phdthesis{220088c7049b411f80330ee0ae7edc14,

title = "Automation of radiotherapy treatment planning for breast cancer: Utilizing artificial intelligence for automated segmentation and planning",

author = "Bakx, \{Nienke Leonarda Maria\}",

note = "Proefschrift.",

year = "2024",

month = sep,

day = "19",

language = "English",

isbn = "978-90-386-6097-4",

publisher = "Eindhoven University of Technology",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Electrical Engineering",

}

TY - THES

T1 - Automation of radiotherapy treatment planning for breast cancer

T2 - Utilizing artificial intelligence for automated segmentation and planning

AU - Bakx, Nienke Leonarda Maria

N1 - Proefschrift.

PY - 2024/9/19

Y1 - 2024/9/19

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 978-90-386-6097-4

PB - Eindhoven University of Technology

CY - Eindhoven

ER -