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Peer-reviewedCC BYFrontiers in digital health

A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images

  • Mehmood Nawaz1
  • Syed Muhammad Tariq Abbasi2
  • Sheheryar Khan3
  • Muhammad Ameer Hamza1
  • Khadija Bibi4
  • Syeda Aimen Abbasi2
  • Muhammad Daud5
  • Muhammad Asim3
  • Wu Yuan2
5 affiliations
  1. 1Department of Data Science and Digital Innovation, The Hong Kong Shue Yan University , ,
  2. 2Department of Biomedical Engineering, The Chinese University of Hong Kong , ,
  3. 3Division of Science, Engineering, and Health Studies (SEHS), School of Professional Education and Executive Development, The Hong Kong Polytechnic University , ,
  4. 4Department of Science, English Schools Foundation College, Sha Tin , ,
  5. 5Department of Agriculture, Bahauddin Zakariya University , ,
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Cite

BibTeXRIS
BibTeX
@article{nawaz2026robust,
  title = {{A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images}},
  author = {Mehmood Nawaz and Syed Muhammad Tariq Abbasi and Sheheryar Khan and Muhammad Ameer Hamza and Khadija Bibi and Syeda Aimen Abbasi and Muhammad Daud and Muhammad Asim and Wu Yuan},
  journal = {Frontiers in digital health},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13690815},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images
AU  - Mehmood Nawaz
AU  - Syed Muhammad Tariq Abbasi
AU  - Sheheryar Khan
AU  - Muhammad Ameer Hamza
AU  - Khadija Bibi
AU  - Syeda Aimen Abbasi
AU  - Muhammad Daud
AU  - Muhammad Asim
AU  - Wu Yuan
PY  - 2026
DA  - 2026/10/24
JO  - Frontiers in digital health
UR  - https://europepmc.org/article/PMC/PMC13690815
SN  - 2673-253X
ER  -