[Retracted] Deep Learning for Ocular Disease Recognition: An Inner‐Class Balance

MS Khan, N Tafshir, KN Alam… - Computational …, 2022 - Wiley Online Library
It can be challenging for doctors to identify eye disorders early enough using fundus
pictures. Diagnosing ocular illnesses by hand is time‐consuming, error‐prone, and …

[HTML][HTML] Awareness of cataract and glaucoma in two rural districts of Telangana, India

S Marmamula, D Boopalan, RC Khanna… - Indian journal of …, 2022 - journals.lww.com
Purpose: To determine the level of awareness of cataract and glaucoma and identify the
determinants of awareness in two rural districts of Telangana, India. Methods: A population …

Population-based assessment of awareness of diabetes and diabetes related eye diseases in rural areas in Telangana, India–implications for eye health promotion

D Boopalan, S Marmamula, J Keeffe… - Clinical and …, 2024 - Taylor & Francis
Clinical relevance Understanding the awareness level of diabetes and diabetes-related eye
diseases will help in developing better eye health education programmes and improve …

[PDF][PDF] A Survey on Classifying Ocular Diseases Using Deep Learning and Machine Learning Techniques

WAL Al-Hamzawi, AM Al-juboori - Journal of Al-Qadisiyah for Computer …, 2024 - iasj.net
In ophthalmology, using fundus images to identify ocular diseases early may pose
challenges for clinicians. Manually diagnosing ocular conditions is time-consuming, difficult …

[PDF][PDF] Advancing Prognosis in Behçet's Uveitis: The Role of Biologic Therapies

ASA Almanasrah, RM AlGhazo, AJ Abusharar… - Sch Acad J …, 2025 - saspublishers.com
Behçet's disease (BD) is a chronic, multi-system inflammatory disease with potentially
devastating ocular involvement. Uveitis remains one of the leading causes of blindness in …

Advanced deep learning algorithms for early ocular disease detection using fundus images

A Shubhashree, BS Divya, T Stephan - Artificial Intelligence in Medicine - taylorfrancis.com
Early detection and identification of eye disorders using fundus pictures stands as one of the
most challenging responsibilities for ophthalmologists. However, performing manual …

[PDF][PDF] Research Article Deep Learning for Ocular Disease Recognition: An Inner-Class Balance

MS Khan, N Tafshir, KN Alam, AR Dhruba, MM Khan… - 2022 - academia.edu
It can be challenging for doctors to identify eye disorders early enough using fundus
pictures. Diagnosing ocular illnesses by hand is time-consuming, error-prone, and …