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Technical Note: Synthesizing of lung tumors in computed tomography images
Author(s) -
O'Briain Teaghan B.,
Yi Kwang Moo,
BazalovaCarter Magdalena
Publication year - 2020
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.14437
Subject(s) - computer science , artificial intelligence , graphical user interface , computed tomography , histogram , lung cancer , set (abstract data type) , computer vision , pattern recognition (psychology) , radiology , image (mathematics) , medicine , pathology , programming language
When investigating new radiation therapy techniques in the treatment planning stage, it can be extremely time consuming to locate multiple patient scans that match the desired characteristics for the treatment. With the help of machine learning, we propose to bypass the difficulty in finding patient computed tomography (CT) scans that match the treatment requirements. Furthermore, we aim to provide the developed method as a tool that is easily accessible to interested researchers.