Concepedia

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Satish E. Viswanath, Prathyush Chirra, Michael C. Yim, Neil M. Rofsky, Andrei S. Purysko, Mark Rosen, B Bloch, Anant Madabhushi

BMC Medical Imaging · 2019 · 43 citations · 41 references

DOI Full text

Open access

Abstract

Our results therefore suggest that simpler classifiers (such as QDA and its ensemble variants) may be more robust, accurate, and efficient for prostate cancer CAD problems, especially in the context of multi-site validation.

References

41

LIBSVM

Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.1K citations

Data Classification, Support Vector Machine, Classification Method +15

Textural Features for Image Classification

Robert M. Haralick, Karthikeyan Shanmugam, I. Dinstein · IEEE Transactions on Systems Man and Cybernetics · 1973 · 22.2K citations

Image Classification, Image Analysis, Machine Vision +15

Bagging Predictors

Leo Breiman · Machine Learning · 1996 · 16.6K citations · Full text

Statistical Comparisons of Classifiers over Multiple Data Sets

Janez Demšar · 2006 · 11.2K citations

Data Classification, Classification Method, Engineering +13

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Fuhui Long, Chen Ding · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 10.2K citations

Engineering, Machine Learning, Mutual Information Criteria +21