Search Results - "Santhos Kumar, A."

A compact fuzzy min max network with novel trimming strategy for pattern classification by A., Santhos Kumar, Kumar, A., Bajaj, V., Singh, G.K.

“…Hyperbox classifier has large contribution to the field of pattern classification, because of its efficiency and transparency. Hyperbox classifier is…”
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An Improved Fuzzy Min-Max Neural Network for Data Classification by Kumar, Santhos A., Kumar, Anil, Bajaj, Varun, Singh, Girish Kumar

“…Hyperbox classifier is an efficient tool for modern pattern classification problems due to its transparency and rigorous use of Euclidian geometry. Fuzzy…”
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Class label altering fuzzy min-max network and its application to histopathology image database by Santhos Kumar, A., Kumar, Anil, Bajaj, Varun, Singh, Girish Kumar

“…•CLAFMM, to alter the class label depending on a secondary training set, is proposed.•CLAFMM is compared with FMM, EFMM and Kn-FMM networks for different…”
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Histopathology Image Classification using Enhanced Fuzzy Min-Max network by Santhos Kumar, A, Kumar, Anil, Bajaj, Varun, Singh, G. K.

“…Histopathology image classification can offer great support towards breast cancer identification. In this paper, an Enhanced fuzzy min max (EFMM) neural…”
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K-highest Fuzzy Min-Max Network to Classify Histopathological Images by A., Santhos Kumar, Kumar, A., Bajaj, V., Singh, G. K.

“…Classification of histopathological images provides great support towards breast cancer diagnosis. Hence, in this work, a Fuzzy Min-Max with a K-highest…”
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A Fuzzy Min-Max Neural Network based Classification of Histopathology Images by Kumar, Santhos A, Kumar, A., Bajaj, V., Singh, G. K., Kuldeep, B.

“…Classification of histopathology images can provide support towards diagnosis of breast cancer. In this study, a Fuzzy Min-Max (FMM) network based approach is…”
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McCulloch’s algorithm inspired cuckoo search optimizer based mammographic image segmentation by Santhos, Kumar A., Kumar, A., Bajaj, V., Singh, G. K.

“…Multi-level thresholding for mammogram image segmentation leads to much better sub-sections of the intensity span, and hence very useful in breast cancer…”
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Fractional-Order Darwinian Swarm Intelligence Inspired Multilevel Thresholding for Mammogram Segmentation by Kumar, A. Santhos, Kumar, A., Bajaj, V., Singh, G. K.

“…Multilevel thresholding is more accurate than the classical thresholding method for segmenting a digital mammogram, since it uses more number of intensities to…”
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