Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques-Reference-Cited by-同舟云学术

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Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

K. Mishra Nabin¹,Kaur Ravneet²,Kasmi Reda³,Kefel Serkan²,Guvenc Pelin²,G. Cole Justin¹,R. Hagerty Jason⁴,Y. Aradhyula Hemanth⁵,LeAnder Robert²,Joe Stanley R.⁵,H. Moss Randy⁵,V. Stoecker William¹

Affiliation:

1. Stoecker and Associates, United States

2. Southern Illinois University Edwardsville, United States

3. University of Begaia, Algeria

4. Stoecker and Associates and Missouri University of Science and Technology, United States

5. Missouri University of Science and Technology, United States

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 2 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. Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images;IEEE Journal of Biomedical and Health Informatics;2019-07

2. Automated detection of nonmelanoma skin cancer using digital images: a systematic review;BMC Medical Imaging;2019-02-28

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