A Transparent Hybrid Deep Learning Framework to Assess German Measles Disease in Skin Images-Reference-Cited by-同舟云学术

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A Transparent Hybrid Deep Learning Framework to Assess German Measles Disease in Skin Images

Published:2023-10-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI)
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Author:

V Yogalakshmi¹,Jenitha J. Merlin Mary²,Chandravadhana A.³,Sherly S. Irin⁴,G Anitha⁵

Affiliation:

1. Rajalakshmi Engineering College,Department of ECE,Chennai

2. Sathyabama Institute of Science and Technology,Department of Information Technology,Chennai

3. S.A. Engineering College,Department of Physics,Chennai

4. Panimalar Engineering College,Department of Information Technology,Chennai

5. SIMATS,Saveetha School of Engineering,Department of ECE,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370005/10370765/10370788.pdf?arnumber=10370788

Reference10 articles.

1. Machine learning approach for classification of maculopapular and vesicular rashes using the textural features of the skin images

2. Deep Learning with Backtracking Search Optimization Based Skin Lesion Diagnosis Model

3. Hybrid Deep Learning Neural System for Brain Tumor Detection

4. An Artificial Neural Network Classifier for palm Motion categorization based on EMG signal

5. Automated Breast Cancer Classification based on Modified Deep learning Convolutional Neural Network following Dual Segmentation

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