Melanoma Malignancy Prognosis Using Deep Transfer Learning-Reference-Cited by-同舟云学术

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Melanoma Malignancy Prognosis Using Deep Transfer Learning

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)
language:
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Author:

Shobarani R.¹,Sharmila R.²,Kathiravan Mathur Nadarajan³,Pandian A. Anbarasa⁴,Narasimha Chary Ch⁵,Vigneshwaran K.⁶

Affiliation:

1. Computer Science and Engineering Dr.M.G.R Edu. & Research Institute,Maduravoyal,Tamilnadu,India

2. Master of Computer Application Dhanalakshmi Srinivasan Engg. College,Perambalur,Tamilnadu,India

3. Dr. N. G. P Arts and Science College,Department of Biotechnology,Coimbatore,Tamilnadu,India

4. Computer Science & Engineering Panimalar Engineering College,Poonamallae,Tamilnadu,India

5. Computer Science and Engineering, Sriindu College of Engg. & Technology,Hyderabad,Telangana,India

6. Electronics & Commu. Engineering K.Ramakrishnan College of Engineering,Trichy,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169127/10169124/10169528.pdf?arnumber=10169528

Reference18 articles.

1. Performance Comparison of Machine Learning-Based Classification of Skin Diseases from Skin Lesion Images

2. An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

3. A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification

4. Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures

5. Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

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