{
  "abstract": null,
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  "affiliations": [
    "Department of Data Science and Digital Innovation, The Hong Kong Shue Yan University , ,",
    "Department of Biomedical Engineering, The Chinese University of Hong Kong , ,",
    "Division of Science, Engineering, and Health Studies (SEHS), School of Professional Education and Executive Development, The Hong Kong Polytechnic University , ,",
    "Department of Science, English Schools Foundation College, Sha Tin , ,",
    "Department of Agriculture, Bahauddin Zakariya University , ,"
  ],
  "article_type": "research article",
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  "author_total": 9,
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      "name": "Mehmood Nawaz"
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      "name": "Muhammad Ameer Hamza"
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      "name": "Khadija Bibi"
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      "name": "Syeda Aimen Abbasi"
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      "name": "Muhammad Daud"
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    {
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      "name": "Muhammad Asim"
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    {
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      "name": "Wu Yuan"
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  "bibtex": "https://research.draconitic.com/paper/bfggaq3pehn6z.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13690815/?tool=EBI",
  "id": "bfggaq3pehn6z",
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  "landing_url": "https://europepmc.org/article/PMC/PMC13690815",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
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  "native_subjects": [],
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  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13690815/pdf/?tool=EBI",
  "pmcid": "PMC13690815",
  "pmid": null,
  "published": "2026-10-24",
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  "ris": "https://research.draconitic.com/paper/bfggaq3pehn6z.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:59Z",
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      "url": "https://europepmc.org/article/PMC/PMC13690815"
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  "subjects": [],
  "title": "A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images",
  "title_text": "A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:59Z",
  "url": "https://research.draconitic.com/paper/bfggaq3pehn6z",
  "venue": "Frontiers in digital health",
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}