Resolution invariant wavelet features of melanoma studied by SVM classifiers-Reference-Cited by-同舟云学术

Resolution invariant wavelet features of melanoma studied by SVM classifiers

Published:2019-02-06 Issue:2 Volume:14 Page:e0211318
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Surówka Grzegorz^ORCID,Ogorzalek Maciej

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference53 articles.

1. Melanoma Review: Epidemiology, Risk Factors, Diagnosis and Staging;R Arrangoiz;Journal of Cancer Treatment and Research,2016

2. Dermatoscopy: Alternative Melanocytic Algorithms—the ABCD Rule of Dermatoscopy, Menzies Scoring Method, and 7-Point Checklist;R Johr;Clinics in Dermatology,2002

3. Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms;A Masood;International Journal of Biomedical Imaging,2013

4. Computational Methods for Pigmented Skin Lesion Classification in Images: Review and Future Trends;R Oliveira;Neural Computing and Applications,2016

5. Review On Early Detection Of Melanoma In Situ;T Satheesha;International Journal of Advanced Technology & Engineering Research,2012

Cited by 4 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. hybSVM: Bacterial colony optimization algorithm based SVM for malignant melanoma detection;Engineering Science and Technology, an International Journal;2021-10

2. Machine learning prediction of dropping out of outpatients with alcohol use disorders;PLOS ONE;2021-08-02

3. Wavelet-based logistic discriminator of dermoscopy images;Expert Systems with Applications;2021-04

4. Naive Bayes Learning of Dermoscopy Images;Artificial Intelligence and Soft Computing;2019