Evaluation of Modified VGG16 Learning Model for Classifying Skin Cancer Lesions-Reference-Cited by-同舟云学术

Evaluation of Modified VGG16 Learning Model for Classifying Skin Cancer Lesions

Published:2023-09-01 Issue: Volume: Page:
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Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Naser Alaubaidy Mateen¹,Ismail Abdullah Abdulqadir²,Mousa Alwan Fatimah³

Affiliation:

1. College of Engineering and Computer Science, Lebanese French University,Department of Information Technology,Erbil,Kurdistan Region,Iraq

2. College of Engineering, Knowledge University,Department of Computer Engineering,Erbil,Kurdistan Region,Iraq

3. College of Engineering and Computer Science, Bayan University,Department of Computer Science,Erbil,Kurdistan Region,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10276216.pdf?arnumber=10276216

Reference29 articles.

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2. Image classification using deep neural network;vaibhav;2020 2nd International Conference on Advances in Computing Communication Control and Networking (ICACCCN),0

3. Improving binary skin cancer classification based on best model selection method combined with optimizing full connected layers of Deep CNN;tri cong;2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR),0

4. Skin lesion segmentation in clinical images using deep learning;mohammad h;2016 23rd International Conference on Pattern Recognition (ICPR),0

5. Diabetic retinopathy classification using VGG16 neural network

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