DOAJ
Open Access
2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Avinash V. Varadarajan
Pinal Bavishi
Paisan Ruamviboonsuk
Peranut Chotcomwongse
Subhashini Venugopalan
+13 lainnya
Abstrak
Diabetic eye disease is a cause of preventable blindness and accurate and timely referral of patients with diabetic macular edema is important to start treatment. Here the authors present a deep learning model that can predict the presence of diabetic macular edema from color fundus photographs with superior specificity and positive predictive value compared to retinal specialists.
Topik & Kata Kunci
Penulis (18)
A
Avinash V. Varadarajan
P
Pinal Bavishi
P
Paisan Ruamviboonsuk
P
Peranut Chotcomwongse
S
Subhashini Venugopalan
A
Arunachalam Narayanaswamy
J
Jorge Cuadros
K
Kuniyoshi Kanai
G
George Bresnick
M
Mongkol Tadarati
S
Sukhum Silpa-archa
J
Jirawut Limwattanayingyong
V
Variya Nganthavee
J
Joseph R. Ledsam
P
Pearse A. Keane
G
Greg S. Corrado
L
Lily Peng
D
Dale R. Webster
Format Sitasi
Varadarajan, A.V., Bavishi, P., Ruamviboonsuk, P., Chotcomwongse, P., Venugopalan, S., Narayanaswamy, A. et al. (2020). Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. https://doi.org/10.1038/s41467-019-13922-8
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Sumber Database
- DOAJ
- DOI
- 10.1038/s41467-019-13922-8
- Akses
- Open Access ✓