Combining Deep Features with the Invariant Local Binary Pattern features for Skin Cancer Classification-Reference-Cited by-同舟云学术

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Combining Deep Features with the Invariant Local Binary Pattern features for Skin Cancer Classification

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 IEEE Pune Section International Conference (PuneCon)
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Author:

Maurya Ritesh¹,Arora Drishti²,Gopalakrishnan T³,Deshpande Ankita R³,Dutta Malay Kishore¹,Karnati Mohan¹

Affiliation:

1. Amity University,Amity Centre for Artificial Intelligence,Noida,India

2. Amity University,Dept. of Computer Science and Engineering,Noida,India

3. Manipal Institute of Technology Bengaluru,Manipal Academy of Higher Education,Department of Information Technology,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10449946/10449987/10450106.pdf?arnumber=10450106

Reference12 articles.

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

2. Detecting melanoma in dermoscopy images using scale adaptive local binary patterns

3. Detection of Melanomas Using Ensembles of Deep Convolutional Neural Networks

4. Skin Cancer Classification using Transfer Learning

5. Skin Cancer Diagnosis based on Improved Multiattention Convolutional Neural Network

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