Detection of Skin Cancer Types in Dermoscopy Images with Gradient Boosting-Reference-Cited by-同舟云学术

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Detection of Skin Cancer Types in Dermoscopy Images with Gradient Boosting

Published:2023-12-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Dewangan Leelkanth¹,Gupta Kirti²,Swarnkar Virendra Kumar³,Goud B. PruthviRaj⁴,Rao Shivangi⁵

Affiliation:

1. Datta Meghe Institute of Higher Education and Research ( Deemed to be University ),Faculty of Engineering & Technology (FEAT)Swangi,Dept of Computer Science & Engineering,Wardh

2. Bharati Vidyapeeth (Deemed to be University),Institute of Management & Entrepreneurship Development,Pune

3. Bharti Vishwavidyalaya,Department of Computer Science & Engineering,Durg,Chhattisgarh

4. Anurag University

5. Guru Ghasidas Vishwavidyalya,Bilaspur,Chhatisgarh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489283.pdf?arnumber=10489283

Reference30 articles.

1. Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

2. Classification of skin cancer from dermoscopic images using deep neural network architectures

3. Ensembling Learning Based Melanoma Classification Using Gradient Boosting Decision Trees

4. Diagnosing of Dermoscopic Images using Machine Learning approaches for Melanoma Detection

5. Enhanced Dermatoscopic Skin Lesion Classification using Machine Learning Techniques

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