Mucormycosis Detection using Hybrid Convolutional Neural Network with Support Vector Machine and Compare the performance with Support Vector Machine-Reference-Cited by-同舟云学术

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Mucormycosis Detection using Hybrid Convolutional Neural Network with Support Vector Machine and Compare the performance with Support Vector Machine

Published:2023-01-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
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Author:

Charan PanthangiVenkata Sai¹,Ramkumar G.¹

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10083319/10083505/10083770.pdf?arnumber=10083770

Reference13 articles.

1. Novel Technique for Segmentation and Identification of Diabetic Retinopathy in Retinal Images Using GMM and Compare Accuracy with SVM

2. A Novel Deep Learning-Based Black Fungus Disease Identification Using Modified Hybrid Learning Methodology

3. COVID‐19 and black fungus: Analysis of the public perceptions through machine learning

4. Epidemiology of Mucormycosis in India

5. Additional 29,250 vials of Amphotericin-B allocated to States/UTs 19,420 vials of Amphotericin-B were allocated on 24th May;Ministry of Chemicals and Fertilizers India,0

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. Combining Convolutional Neural Networks for Fungi Classification;IEEE Access;2024

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