An Effective Hybrid Model for Skin Cancer Detection Using Transfer Learning-Reference-Cited by-同舟云学术

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An Effective Hybrid Model for Skin Cancer Detection Using Transfer Learning

Published:2023-12-18 Issue: Volume:59 Page:840-845
ISSN:
Container-title:2023 16th International Conference on Developments in eSystems Engineering (DeSE)
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Author:

Mohammed Hussam J.¹,Nafea Ahmed Adil¹,Almulla Hussein K.²,Aliesawi Salah A. S.³,Al-Ani Mohammed M⁴

Affiliation:

1. University of Anbar,College of Computer Science and Information Technology,dept. Artificail inteligence,Ramadi,Iraq

2. University of Anbar,Computer Center,Ramadi,Iraq

3. University of Anbar,College of Computer Science and Information Technology,dept. Computer Science,Ramadi,Iraq

4. Universiti Kebangsaan Malaysia (UKM),Faculty of Information Science and Technology,dept.Center for Artificial Intelligence Technology (CAIT),Bangi,Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468572/10468673/10468994.pdf?arnumber=10468994

Reference23 articles.

1. Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

2. A Deep Learning Approach to Skin Cancer Detection in Dermoscopy Images

3. Internet of Things Utilization for eHealthcare Monitoring

4. Convolutional Neural Network (CNN) for Automatic Skin Cancer Classification System

5. Automatic Classification of Melanoma Skin Cancer with Deep Convolutional Neural Networks

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