{
  "abstract": "Keratitis is a major cause of visual impairment worldwide, with timely and accurate diagnosis being critical to preventing irreversible vision loss. Existing deep learning (DL) models rely heavily on high-quality slit-lamp (HQS) images, limiting their applicability in real-world clinical scenarios where low-quality slit-lamp (LQS) images are frequently encountered due to acquisition-related artifacts. Here, we propose an automated keratitis diagnosis framework for LQS images (AKDF-LQSI) that integrates image enhancement with lesion-aware classification. A random degradation algorithm is designed to simulate common clinical artifacts, enabling paired LQS–HQS training. The framework incorporates an improved generative adversarial network to restore diagnostic features and a context-aware classifier to enhance lesion representation. AKDF-LQSI demonstrates robust performance when evaluated on a multicenter dataset of 10,498 slit-lamp images, achieving an AUC exceeding 0.949. This approach presents a practical solution for keratitis diagnosis from degraded images, with strong potential to reduce diagnostic disparities in resource-limited environments.",
  "abstract_shown": true,
  "affiliations": [
    "School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an, China",
    "Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China",
    "School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China",
    "School of Mathematics and Statistics, Xidian University, Xi’an, China",
    "School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jiewei Jiang"
    },
    {
      "affs": [
        0
      ],
      "name": "Siyuan Song"
    },
    {
      "affs": [
        0
      ],
      "name": "Qihai Yao"
    },
    {
      "affs": [
        0
      ],
      "name": "Kuan Li"
    },
    {
      "affs": [
        0
      ],
      "name": "Tongtong Lin"
    },
    {
      "affs": [
        0
      ],
      "name": "Yu Xin"
    },
    {
      "affs": [
        0
      ],
      "name": "Yiwei Cui"
    },
    {
      "affs": [
        0
      ],
      "name": "Ning Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Yifan Bai"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiaoci Luo"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Wei Chen"
    },
    {
      "affs": [
        3
      ],
      "name": "Mingmin Zhu"
    },
    {
      "affs": [
        4
      ],
      "name": "Lang He"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Zhongwen Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2rks25gdjsq6h.bib",
  "cited_by": 0,
  "doi": "10.1038/s41746-026-02952-4",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13696720/",
  "id": "2rks25gdjsq6h",
  "issns": [
    "2398-6352"
  ],
  "landing_url": "https://doi.org/10.1038/s41746-026-02952-4",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Article"
    ],
    [
      "openalex",
      "2731|Ocular Infections and Treatments"
    ]
  ],
  "openalex": "W7167236140",
  "pdf_url": "https://www.nature.com/articles/s41746-026-02952-4_reference.pdf",
  "pmcid": "PMC13696720",
  "pmid": "42399459",
  "published": "2026-07-03",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/2rks25gdjsq6h.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:01Z",
      "native_id": "PMC13696720",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s41746-026-02952-4"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2731|Ocular Infections and Treatments",
      "subfield": "general"
    }
  ],
  "title": "Automated diagnosis of keratitis from low-quality slit-lamp images using an improved generative adversarial network",
  "title_text": "Automated diagnosis of keratitis from low-quality slit-lamp images using an improved generative adversarial network",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:34:00Z",
  "url": "https://research.draconitic.com/paper/2rks25gdjsq6h",
  "venue": "NPJ Digital Medicine",
  "versions": []
}