APA (7th ed.) Citation

Mohsin, B., Dayang Nurfatimah, A. I., Majid, A. K., Ghazanfar, L., & Abul, B. (2025). MEDCnet: A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN. John Wiley & Sons, Inc.

Chicago Style (17th ed.) Citation

Mohsin, Butt, Awang Iskandar Dayang Nurfatimah, Ali Khan Majid, Latif Ghazanfar, and Bashar Abul. MEDCnet: A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN. John Wiley & Sons, Inc, 2025.

MLA (9th ed.) Citation

Mohsin, Butt, et al. MEDCnet: A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN. John Wiley & Sons, Inc, 2025.

Warning: These citations may not always be 100% accurate.