합성 곱 신경망 기반 녹내장 탐지모델 설계에 관한 연구

참고문헌

1. 박영순, "기척 없는 불청객 녹내장, 조기발견이 중요", 헬스조선
2. AI Hub[웹사이트], (2021.05.24.), "https://aihub.or.kr/aidata/131"
3. KHOJASTEH, Parham; ALIAHMAD, Behzad; KUMAR, Dinesh K. Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms. BMC ophthalmology, 2018, 18.1: 1-13. https://doi.org/10.1186/s12886-017-0645-6
4. XU, Kele; FENG, Dawei; MI, Haibo. Deep convolutional neural network-based early automated detection of diabetic retinopathy using fundus image. Molecules, 2017, 22.12: 2054. https://doi.org/10.3390/molecules22122054
5. GHEISARI, Soheila, et al. A combined convolutional and recurrent neural network for enhanced glaucoma detection. Scientific reports, 2021, 11.1: 1-11. https://doi.org/10.1038/s41598-020-79139-8
6. LI, Liu, et al. Attention based glaucoma detection: A large-scale database and cnn model. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019. p. 10571-10580.
7. 지세현, et al. 합성 곱 신경망 기반 웹 응용 트래픽 분류 모델 설계. 한국통신학회논문지, 2019, 44.6: 1113-1120.