StrabNet-CQ: an integrated deep learning framework for automated strabismus classification and quantification using ocular landmark detection
StrabNet-CQ supports objective diagnosis and holds promise for deployment in clinical settings for strabismus detection as well as quantification.
Authors
- Debabrata Ghosh (ORCID: https://orcid.org/0000-0002-4603-1238)
- Sandeep Garg (ORCID: https://orcid.org/0000-0003-2284-8785)
- Savleen Kaur (ORCID: https://orcid.org/0000-0003-1929-4451)
- Jaspreet Sukhija (ORCID: https://orcid.org/0000-0002-7012-7619)
- Ashish Sunkarapalli
Institutions
- Thapar Institute of Engineering & Technology (IN)
- Post Graduate Institute of Medical Education and Research (IN)
Publication Details
- Journal
- BMC Ophthalmology
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1186/s12886-025-04442-9
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.36