Skin lesion diagnosis from images using novel ensemble classification techniques-Reference-Cited by-同舟云学术

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Skin lesion diagnosis from images using novel ensemble classification techniques

Published:2010-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine
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Author:

Maragoudakis Manolis,Maglogiannis Ilias

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5673318/5687600/05687620.pdf?arnumber=5687620

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modified CNNs for Automated Binary Classification of Skin Lesions: Benign vs.Malignant;2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE);2023-11-23

2. Pioneer Learning: Discovering Blind Spots of Transferred Rich Visual Knowledge for Skin Lesion Recognition;2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC);2023-10-20

3. Efficient structural pseudoinverse learning-based hierarchical representation learning for skin lesion classification;Complex & Intelligent Systems;2021-12-23

4. An Integrated Platform for Skin Cancer Heterogenous and Multilayered Data Management;Journal of Medical Systems;2021-01

5. Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis;Journal of Clinical Medicine;2019-08-17

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