| Yazarlar (6) |
Raji Elsa Varghese
Karunya Institute of Technology and Sciences, India |
|
S. Immanuel Alex Pandian
Karunya Institute of Technology and Sciences, India |
|
K. Martin Sagayam
Karunya Institute of Technology and Sciences, India |
|
J. Anitha
Karunya Institute of Technology and Sciences, India |
|
Kottakkaran Sooppy Nisar
Prince Sattam Bin Abdulaziz University, Saudi Arabia |
Doç. Dr. Hatıra GÜNERHAN
Kafkas Üniversitesi, Türkiye |
| Özet |
| The increasing prevalence and severity of eye diseases worldwide underscore the urgent need for advanced diagnostic tools and interventions to address the growing burden on global public health. The study on eye disease classification holds significant relevance due to its potential impact on enhancing early detection, diagnosis, and treatment of various ocular conditions. Timely and accurate identification of eye diseases such as cataracts, glaucoma and diabetic retinopathy is crucial for preventing vision loss and improving overall patient outcomes. This innovative model leverages the synergistic features of the Dual Path Network (DPN) due to its ability to capture both global and local features simultaneously, enabling more comprehensive information extraction and contributing to enhanced model performance. The dataset, sourced from Kaggle, comprises retinal images categorized into Normal, Diabetic Retinopathy, Cataract, and Glaucoma, each class containing approximately 1000 images. The proposed model exhibits robust performance across various metrics, achieving a commendable accuracy of 95.32 %, showcasing its proficiency in accurate classification. The notable capacity of the model to reduce false positives while effectively identifying positive cases underscores its potential as a valuable tool for the early detection of eye diseases. By employing advanced technology like a dual-path network, the study aims to provide a more sophisticated and efficient tool for automated classification, thereby assisting healthcare professionals in making informed decisions. |
| Anahtar Kelimeler |
| Cataract | Diabetic retinopathy | Dual path network | Glaucoma | Medical image |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Computers in Biology and Medicine |
| Dergi ISSN | 0010-4825 Wos Dergi Scopus Dergi |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 10-2025 |
| Cilt No | 197 |
| Sayı | 1 |
| Doi Numarası | 10.1016/j.compbiomed.2025.111021 |
| Atıf Sayıları |
