| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Computers in Biology and Medicine (Q1) | ||
| Dergi ISSN | 0010-4825 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2025 |
| Cilt / Sayı / Sayfa | 197 / 1 / 111021–0 | DOI | 10.1016/j.compbiomed.2025.111021 |
| Makale Linki | https://doi.org/10.1016/j.compbiomed.2025.111021 | ||
| UAK Araştırma Alanları |
Uygulamalı Matematik
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| 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 … |
| Anahtar Kelimeler |
| Cataract | Diabetic retinopathy | Dual path network | Glaucoma | Medical image |
| Atıf Sayıları | |
| Scopus | 2 |
| Google Scholar | 2 |
| Dergi Adı | COMPUTERS IN BIOLOGY AND MEDICINE |
| Yayıncı | Elsevier Ltd |
| Açık Erişim | Hayır |
| ISSN | 0010-4825 |
| E-ISSN | 1879-0534 |
| CiteScore | 13,0 |
| SJR | 1,447 |
| SNIP | 1,846 |