Vision Transformers-Based Deep Feature Generation Framework for Hydatid Cyst Classification in Computed Tomography Images.
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| Title: | Vision Transformers-Based Deep Feature Generation Framework for Hydatid Cyst Classification in Computed Tomography Images. |
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| Authors: | Sagik M; Department of Electrical and Electronics Engineering, Izmir Institute of Technology, Gülbahçe/Urla, 35430, İzmir, Turkey., Gumus A; Department of Electrical and Electronics Engineering, Izmir Institute of Technology, Gülbahçe/Urla, 35430, İzmir, Turkey. abdurrahmangumus@iyte.edu.tr. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1352-1370. Date of Electronic Publication: 2025 Jul 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2948-2933 |
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| DOI: | 10.1007/s10278-025-01602-7 |
