Accurate leukocoria predictor based on deep VGG‐net CNN technique

Author:

Subrahmanyeswara Rao Boyina1

Affiliation:

1. Department of Electronics and Communication Engineering, Swarnandhra College of Engineering and TechnologyKakinada, NarsapurWest Godavari DistrictAPIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives;Artificial Intelligence in Medicine;2024-06

2. SFEMAU2-Net: An Improved Saliency Mongolian Pattern Detection Algorithm for U2-Net;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

3. Deep Learning-based EEG Signal Identity Recognition Using VGGNet;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

4. Transfer Learning and Interpretable Analysis-Based Quality Assessment of Synthetic Optical Coherence Tomography Images by CGAN Model for Retinal Diseases;Processes;2024-01-13

5. Leukocoria Identification: A 5-Fold Cross Validation CNN and Adaboost Hybrid Approach;2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2023-12-11

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