Lutfun Nahar, Mohammad Shahadat Hossain, Promi Das, Tanzeem Alam, Karl Andersson 0001. A Deep Learning-Based Ophthalmologic Approach for Retinal Fundus Image Analysis to Detect Glaucoma. In M. Shamim Kaiser, Kanad Ray, Anirban Bandyopadhyay, Kavikumar Jacob, Kek Sie Long, editors, Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering - TCCE 2021, Batu Pahat, Johor, Malaysia, October 21-22, 2021. Volume 348 of Lecture Notes in Networks and Systems, pages 519-532, Springer, 2021. [doi]
@inproceedings{NaharHDA021,
title = {A Deep Learning-Based Ophthalmologic Approach for Retinal Fundus Image Analysis to Detect Glaucoma},
author = {Lutfun Nahar and Mohammad Shahadat Hossain and Promi Das and Tanzeem Alam and Karl Andersson 0001},
year = {2021},
doi = {10.1007/978-981-16-7597-3_43},
url = {https://doi.org/10.1007/978-981-16-7597-3_43},
researchr = {https://researchr.org/publication/NaharHDA021},
cites = {0},
citedby = {0},
pages = {519-532},
booktitle = {Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering - TCCE 2021, Batu Pahat, Johor, Malaysia, October 21-22, 2021},
editor = {M. Shamim Kaiser and Kanad Ray and Anirban Bandyopadhyay and Kavikumar Jacob and Kek Sie Long},
volume = {348},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-981-16-7597-3},
}