PMC · DOI:10.3390/jcm14124153·June 11, 2025
AI in Medical Imaging and Image Processing
Karolina Nurzynska, Michał Strzelecki, Adam Piórkowski, Rafał Obuchowicz

Abstract
Linked entities
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Species1
Chemicals4
Diseases29
prostate cancercancerwound infectionsstrokehead and neck squamous cell carcinomathoracic aortic aneurysmrib fractureacute appendicitisParkinson's diseaseischemic strokebrain tumorcoronary occlusionchest abnormalitiesmacular holesfracturestuberculosisinjury tointracranial hemorrhagedental cariesbrain and lung cancerslung or prostate tumorsAASbreast cancercystic fibrosisosteosarcomaleukemiamultiple sclerosisartery calciumCOVID-19
Figures2
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · AI in cancer detection · Medical Imaging and Analysis
