Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection
Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection is a scholarly work, published in 2018 in ''Journal of Ambient Intelligence and Humanized Computing''. The main subjects of the publication include selection (genetic algorithm), segmentation, artificial intelligence, image segmentation, thresholding, binomial, computational intelligence, machine learning, pattern recognition, and computer science. The proposed method achieved average classification accuracy of above 90% for both data sets which shows its authenticity.