Optimization Accuracy of CNN Model by Utilizing CLAHE Parameters in Image Classification Problems-Reference-Cited by-同舟云学术

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Optimization Accuracy of CNN Model by Utilizing CLAHE Parameters in Image Classification Problems

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT)
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Author:

Wanto Anjar¹,Yuhandri Yuhandri²,Okfalisa Okfalisa³

Affiliation:

1. Universitas Putra Indonesia YPTK Padang,Doctoral Student, Information Technology Faculty of Computer Science,Padang,Indonesia

2. Universitas Putra Indonesia YPTK Padang,Faculty of Computer Science,Department of Information Technology,Padang,Indonesia

3. Universitas Islam Negeri Sultan Syarif,Faculty of Science and Technology,Department Informatics Engineering,Kasim Riau,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326448/10326725/10327100.pdf?arnumber=10327100

Reference18 articles.

1. AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images

2. Segmentation of retinal blood vessels by a novel hybrid technique- Principal Component Analysis (PCA) and Contrast Limited Adaptive Histogram Equalization (CLAHE)

3. High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images

4. A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features

5. A Hybrid CNN-SVM Threshold Segmentation Approach for Tumor Detection and Classification of MRI Brain Images

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1. Enhancing Covid-19 Detection in X-Ray Images Through Image Preprocessing and Transfer Learning;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04

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