3D CSFA-UNet: a unified attention-driven deep learning framework for accurate knee MRI segmentation and osteoarthritis severity classification.
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| Title: | 3D CSFA-UNet: a unified attention-driven deep learning framework for accurate knee MRI segmentation and osteoarthritis severity classification. |
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| Authors: | Moorthy C; Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India. moorthyc@drmcet.ac.in., Shafeek A; Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India., Gurunathan V; Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India., Sudhakar R; Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 01; Vol. 16 (1), pp. 6878. Date of Electronic Publication: 2026 Feb 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-37847-7 |
