Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine-Reference-Cited by-同舟云学术

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Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine

Published:2024-04-26 Issue: Volume: Page:
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Container-title:2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

Mohan Tito Ayyalasomayajula Madan¹,Tiwari Aniruddh²,Kumar Arora Rajeev³,Khan Shahnawaz⁴

Affiliation:

1. School of Business and Technology Aspen University,Department of Computer Science,Phoenix,AZ,USA,85040

2. GSSR Inc,Department of Information Technology,Chantilly,VA,United States,20151

3. Nicklaus Children's Hospital,Department of Information Technology,Miami,FL,US,33155

4. Bundelkhand University,Department of Computer Science,Jhansi,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548017/10548035/10548327.pdf?arnumber=10548327

Reference21 articles.

1. Radio resource allocation in LTE-advanced cellular networks with M2M communications

2. Smaller, faster, cheaper, over:the future of computer chips,2015

3. Histopathological image classification using dilated residual grooming kernel model

4. Agricultural plant diseases identification: From traditional approach to deep learning

5. A Lightweight Hybrid Dilated Ghost Model-Based Approach for the Prognosis of Breast Cancer

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