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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