Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration.
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| Title: | Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration. |
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| Authors: | Chen TC; Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan.; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan., Lim WS; Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan., Wang VY; Case Western Reserve University School of Medicine, Cleveland, OH, USA., Ko ML; Department of Ophthalmology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan., Chiu SI; Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan., Huang YS; Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan., Lai F; Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan., Yang CM; Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan., Hu FR; Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan., Jang JR; Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan. jang@mirlab.org., Yang CH; Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan. chyangoph@ntu.edu.tw. |
| Source: | Journal of digital imaging [J Digit Imaging] 2021 Aug; Vol. 34 (4), pp. 948-958. Date of Electronic Publication: 2021 Jul 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9100529 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1618-727X (Electronic) Linking ISSN: 08971889 NLM ISO Abbreviation: J Digit Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1618-727X |
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| DOI: | 10.1007/s10278-021-00479-6 |
