FHDT: Fuzzy and Hyco-entropy-based Decision Tree Classifier for Tuberculosis Diagnosis from Sputum Images

An efficient fuzzy classifier with feature selection based on fuzzy entropy

Hahn-Ming Lee, Chih‐Ming Chen, Jyh-Ming Chen et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2001 · 294 citations

Computing, Data Science, Data Mining +15

Color histogram features based image classification in content-based image retrieval systems

Szabolcs Sergyán · 2008 · 166 citations

Computing, Computer Science, Computer Vision +15

Classification of <i>Mycobacterium tuberculosis</i> in Images of ZN-Stained Sputum Smears

Rethabile Khutlang, Sriram Krishnan, Ronald Dendere et al. · IEEE Transactions on Information Technology in Biomedicine · 2009 · 121 citations

Life Sciences, Infectious Diseases, Microbiology +17

Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm

Erhan Elveren, Nejat Yumuşak · Journal of Medical Systems · 2009 · 98 citations

Computing, Computer Science, Infectious Diseases +12

Image processing techniques for identifying Mycobacterium tuberculosis in Ziehl-Neelsen stains.

Pankaj Sadaphal, J Bhaskara Rao, G W Comstock et al. · PubMed · 2008 · 72 citations

Life Sciences, Infectious Diseases, Microbiology +17