Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 14 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

A unified deep learning framework for multi-lesion detection in diabetic retinopathy using fundus images

Related

  1. Identification of key clinical features and development of a machine learning model for screening-based detection of diabetic retinopathy
    Li Huilin, Hao Shaofeng, Li Na +4
    Scientific ReportsPeer-reviewedCC BYFull textMedical imaging & radiologyDOAJ
  2. A Robust and Trustable Approach to Incorporate Medical Domain Knowledge in Machine Learning Models for Diabetic Retinopathy Screening Using Routine Lab Results
    Enrico Laoh, Oday Bani Ahmad, Tieming Liu
    Smart health (Amsterdam, Netherlands)Peer-reviewedLicence not statedFull text1 citedMedical imaging & radiologyPMC
  3. COlour vision assessment for the Detection of Early diabetic Retinopathy (CODER): A study protocol
    Vaishaali Gunalan, Vinitha Mingi, Brijesh Takkar +2
    PLOS OnePeer-reviewedCC BY 4.0Full textNeuroscienceMedical imaging & radiologyPLOS
  4. Circulating and extracellular vesicle-associated non-coding RNAs in diabetic retinopathy: a stage-aware framework for network-informed biomarker panels
    Ji-Won Yu, Myung-Ji Choi, Dong Cheol Lee +1
    Frontiers in EndocrinologyPeer-reviewedCC BY 4.0Full textEndocrinology & metabolismCrossrefPMC
  5. Mapping the methodological framework of diabetic retinopathy interventional trials: a scoping review on trial design, execution, and reporting practices
    Zixuan Wang, Xuwei Liu, Ming Yang +6
    Frontiers in endocrinologyPeer-reviewedCC BYFull textEndocrinology & metabolismEurope PMCCrossref
BibTeX
@article{ramesh2026unified,
  title = {{A unified deep learning framework for multi-lesion detection in diabetic retinopathy using fundus images}},
  author = {Remya Ramesh and R. Lavanya and O. K. Sikha},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76207-3},
  url = {https://www.nature.com/articles/s41598-026-76207-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A unified deep learning framework for multi-lesion detection in diabetic retinopathy using fundus images
AU  - Remya Ramesh
AU  - R. Lavanya
AU  - O. K. Sikha
PY  - 2026
DA  - 2026/10/19
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76207-3
UR  - https://www.nature.com/articles/s41598-026-76207-3
SN  - 2045-2322
ER  -