Benign/Malignant Skin Melanoma Detection from Dermoscopy Images using Lightweight Deep Transfer Learning-Reference-Cited by-同舟云学术

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Benign/Malignant Skin Melanoma Detection from Dermoscopy Images using Lightweight Deep Transfer Learning

Published:2024-05-09 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Vijayakumar K.¹,Maziz Mohammad Nazmul Hasan²,Ramadasan Swaetha³,Balaji G.⁴,Prabha S.⁵

Affiliation:

1. St. Joseph’s Institute of Technology,Department of Information Technology,India

2. Perdana University,Faculty of Medicine and Health sciences,Malaysia

3. Senior Business Intelligence Engineer Perma Technologies,Atlanta,GA,USA,30342

4. M/s TATA Consultancy Services Limited, TCSL, Siruseri SEZ Unit SIPCOT I.T. Park,Chennai,TN,India,603103

5. Saveetha School of Engineering, SIMATS,Center for Research and Innovation,Department of CSE,Chennai,TN,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10601855.pdf?arnumber=10601855

Reference10 articles.

1. A Decision Support System for Melanoma Diagnosis from Dermoscopic Images

2. Machine Learning Approaches for Skin Cancer Classification from Dermoscopic Images: A Systematic Review

3. Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review

4. Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

5. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review

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