Skin Cancer Detection from RGB Images using the LBP and HOG Texture Feature Descriptors with help of Machine Learning Algorithm-Reference-Cited by-同舟云学术

Skin Cancer Detection from RGB Images using the LBP and HOG Texture Feature Descriptors with help of Machine Learning Algorithm

Published:2022-08-26 Issue: Volume: Page:
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Container-title:2022 International Conference on Signal and Information Processing (IConSIP)
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Author:

Khanvilkar Divyesh¹,Bhatt Abhishek¹

Affiliation:

1. College of Engineering Pune,Electronics and Telecommunications Department,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10007073/10007433/10007515.pdf?arnumber=10007515

Reference10 articles.

1. Skin Pathology Detection Using Artificial Intelligence

2. Effect of Color Enhancement on Early Detection of Skin Cancer using Convolutional Neural Network

3. Melanoma skin cancer detection using color and new texture features

4. Geometric analysis of skin lesion for skin cancer using image processing;linsangan;2018 IEEE 10th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM),2018

5. Performance of Multi Layer Perceptron and Deep Neural Networks in Skin Cancer Classification

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