[PDF] Top 20 A Comparative Study of Classifiers for Tumor Detection

... Image-processing is a demanding field that includes various applications such as CT-scan, angiography, MRI etc. MRI is the standard non invasive skill used for analyzing, diagnosing and treating the abnormal tissues. In ... See full document

... various classifiers in terms of accuracy in ...different classifiers for our ...different classifiers and provides new benchmark for future research; here we have reported comparative ... See full document

... In [19] they try to solve the high dimension of the feature vector problem for text categorization. They use a multistage model to enhance the overall accuracy and the performance of classification. In the first stage, ... See full document

... EP/JEP (jumping emerging patterns) - based classifiers such as CAEP and JEP-classifier have good overall predictive accuracy. But they suffer from the huge number of mined EPs/JEPs, which makes the ... See full document

... The brain is anintricate organ as it contains 50-100 billion neurons forming a gigantic neural network. Detection of anatomical brain structures with their precise location is important for treatments like ... See full document

... Those classifiers, which present- ed the best values, produced also a small ...linear classifiers can be applied for classifying, labeling or tagging re- quirements given in natural language ... See full document

... Classification techniques were developed as machine learning algorithms in order to extract rules and patterns from data that are used for prediction. The objective of classification is to build a mapping function that ... See full document

... but detection and prevention of such kinds of threats is even more challenging and ...their detection capabilities, performance and accuracy. In this study, we have used SNORT and SURICATA as ... See full document

... The Naïve Bayes classifier is a probabilistic classifier based on Bayes theorem with strong and naïve independence assumptions. It is supposed to be one of the most basic text classification techniques with various ... See full document

... The preprocessing in this is done by binarization, deskewing .Comparative study of recognition of handwritten and printed character and numerals by Nearestneighbour classifiers was prese[r] ... See full document

... In 0ur work, a deep learning convolutional network based on keras and tensorflow is deployed using python for image classification. a number of different images, which contains four types of eye diseases, namely Diabetic ... See full document

... The study performs a comparative analysis of rule based classifiers inorder to generate human interpretable rules for diagnosing ...The study concludes that among all the conventional ... See full document

... a comparative study of four different classifiers, multiple linear regression (MLR), artificial neural network (ANN), k-nearest neighbor (k-NN), and naive Bayesian classifier to observe the ... See full document

... involves tumor cells invading surrounding tissues and entering the blood or lymphatics ...Circulating tumor cells (CTCs) were first observed in 1869 by Thomas Ashworth and have since been of great ... See full document

... A cross-sectional study was conducted at the Department of Microbiology, B.P. Koirala Institute of Health Sciences from July 1, 2014, to June 30, 2015. Among 5705 bacteria isolated during the period, we obtained ... See full document

... machine classifiers for the classification of brain ...these classifiers are evaluated and based on this neural network is found to be the efficient ... See full document

... carrier detection. The present study is an account of the carr ier screening for β -thalassemia trait in Jammu region of the J&K ...the study was to provide genetic counselling to the carriers ... See full document

... and the RBF. An experimental comparison of the proposed methods is provided in this paper. Different experiments in this research are conducted by using smaller subsets of NASA software engineering dataset [1]. The ... See full document

... the detection of emotion ...learning classifiers to detect seven categories of emotions. The proposed study is different from that of Thomas et ... See full document

... The treated and untreated effluent sample from Sir Shadi sugar mill Ltd. Shamli Distt Muzaffarnager of Western Utter Pradesh India during 2011-12 were collected and brought into laboratory for studying Physico-chemical ... See full document