Machine learning approach for wart treatment selection: prominence on performance assessment
Author:
Funder
Ministry of Human Resource Development
Publisher
Springer Science and Business Media LLC
Subject
Urology
Link
http://link.springer.com/content/pdf/10.1007/s13721-020-00246-7.pdf
Reference27 articles.
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2. Akben SB (2018) Science direct predicting the success of wart treatment methods using decision tree based fuzzy informative images. Biocybern Biomed Eng 38:819–827. https://doi.org/10.1016/j.bbe.2018.06.007
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4. Carneiro G, Georgescu B, Good S, Comaniciu D, Member S (2008) Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree. IEEE Trans Med imaging 27:1342–1355
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