GUPEA >
Student essays / Studentuppsatser >
Institute of Clinical Sciences / Institutionen för kliniska vetenskaper >
Medicinsk strålningsvetenskap >
Masteruppsatser / Medicinsk strålningsvetenskap >

Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/70339

Files in This Item:

File Description SizeFormat
gupea_2077_70339_1.pdfStudent essay1304KbAdobe PDF
View/Open
Title: Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals
Other Titles: Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals
Authors: Lipnicevic, Dennis
Issue Date: 13-Jan-2022
Degree: Student essay
Keywords: Medical physics
automated segmentation
dosimetry
kidney
nuclear medicine dosimetry
deep learning
convolutional neural network
Abstract: Purpose: The aim of this study was to introduce a volumetric convolutional neural network for segmentation of the kidneys in SPECT images and to apply it in the dosimetry of radiopharmaceuticals of this organ, in order to decrease segmentation time and to standardize the segmentation of the kidneys. Method: Three networks were trained using two network architectures and a total of 216 retrospectively collected images from patients that underwent imaging procedures at Sahlgrenska Univ... more
URI: http://hdl.handle.net/2077/70339
Appears in Collections:Masteruppsatser / Medicinsk strålningsvetenskap

 

 

© Göteborgs universitet 2011