Skin Lesion Classification using Deep Feature Fusion and Selection Using XGBoost Classifier-Reference-Cited by-同舟云学术

Skin Lesion Classification using Deep Feature Fusion and Selection Using XGBoost Classifier

Published:2024-02-24 Issue: Volume:64 Page:1-5
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Container-title:2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
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Author:

Maurya Ritesh¹,Bais Anant Krisn²,Gopalakrishnan T³,Dutta Malay Kishore¹,Pandey Nageshwar Nath⁴,Y V Srinivasa Murthy³

Affiliation:

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

2. Amity University,Amity Institute of Biotechnology,Noida,India

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

4. ITER, Siksha ‘O’ Anusandhan,Department of Computer Science and Engineering,Bhubaneswar,Odisha,India

Publisher

IEEE

Link

Reference26 articles.

2. Vital signs: melanoma incidence and mortality trends and projections - United States, 1982-2030;Guy;MMWR Morb Mortal Wkly Rep,2015

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