Conference Paper 2024
Cat-CNN: Human Eye Cataract Detection from Color Fundus Photograph with Deep CNN with Optimized Cascaded Network
2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), pp. 1-6
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Conference Paper published in 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) (2024) · 7 authors
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Citation
IEEE
M. S. Islam et al., "Cat-CNN: Human Eye Cataract Detection from Color Fundus Photograph with Deep CNN with Optimized Cascaded Network," in 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), 2024, pp. 1-6, doi: 10.1109/SPICSCON64195.2024.10941258.
BibTeX
@INPROCEEDINGS{10941258,
author={Islam, Md. Sariful and Bappy, Md Tusher Ahmad and Shawon, Jubayer Ahmed and Hasan, Mehedi and Rahman, Wahidur and Akter, Lija and Azad, Mir Mohammad},
booktitle={2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON)},
title={Cat-CNN: Human Eye Cataract Detection from Color Fundus Photograph with Deep CNN with Optimized Cascaded Network},
year={2024},
volume={},
number={},
pages={1-6},
keywords={Cataracts;Measurement;Deep learning;Accuracy;Image color analysis;Static VAr compensators;Feature extraction;Real-time systems;Residual neural networks;Principal component analysis;Cataract detection;color fundus photography;deep learning;CNN;feature extraction;machine learning;PCA;image classification;ophthalmology},
doi={10.1109/SPICSCON64195.2024.10941258}}