Analysis of Coloboma Defected Eyes using Automated Pre-trained CNN Models-Reference-Cited by-同舟云学术

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Analysis of Coloboma Defected Eyes using Automated Pre-trained CNN Models

Published:2022-11-15 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Computation, Automation and Knowledge Management (ICCAKM)
language:
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Author:

Nijhawan Rahul¹,Sule Neomi¹,Verma Madhushi²,Sharma Bharti³,Bansal Ishan⁴

Affiliation:

1. University of Petroleum and Energy Studies,Computer Science Engineering Department,Dehradun,India

2. Bennett University,School of Computer Science Engineering and Technology,Greater Noida

3. DIT,Computer Science Engineering Department,Dehradun,India

4. College of Engineering Roorkee,Computer Science Engineering Department,Roorkee,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989538/9990044/09990517.pdf?arnumber=9990517

Reference14 articles.

1. A Deep Learning Method for the detection of Diabetic Retinopathy

2. A Novel Convolutional Neural Network-Gated Recurrent Unit approach for Image Captioning

3. Cervical Dystonia Detection using Facial and Eye Feature

4. COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model

5. Hybrid approach for brain tumor detection and classification in magnetic resonance images

Cited by 1 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. Segmentation Enhancement for Iris Recognition Using Unit Gradient Vectors;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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