Learning to identify anomalies in x-ray images is a time consuming and difficult task. Manyhours of looking at similar images to familiarize oneself with the images can feel daunting andunmotivating. This is why a game application where the user, in a challenging environment, canlearn while being adequately stimulated.In this thesis, a game for this exact reason is created, with the aim being to teach anatomy tomedical students in a stimulating fashion. The game is made in the programming languagePython, which uses libraries supporting the DICOM-format, which is widely used in the medicalfield. By combining a score system with a time limit, the user can challenge themselves and seeconcrete improvement by playing the game.The goal of this thesis is to prepare medical students for their future profession as a doctor,training them to easily detect anomalies in the human body. A small test is conducted to test thegame and confirm that it improves the user’s ability to identify anatomical structures. The resultis then presented along with proposed improvements and alternative approaches.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-506956 |
Date | January 2023 |
Creators | Hedström, Ruben |
Publisher | Uppsala universitet, Avdelningen Vi3 |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | UPTEC F, 1401-5757 ; 23029 |
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