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"Detection and classification of brain tumor using hybrid feature extra" by Manu Singh, Vibhakar Shrimali et al.

Accurate manual detection of brain tumor by a team of radiologists may be a long and tedious process, and further rely on their skills in the subject. Nowadays various medical imaging modalities are extensively used to minimize the above complexities and enable the patients to live a long and healthy life. This paper mainly focuses on the suspected patients of the brain tumor. A new method for feature extraction has been introduced and the framework for it has been briefed in the following steps. To begin with, a dual segmentation i.e. Fuzzy K-mean and Expectation-Maximization method has been performed consequently. The Ranklet Transformation+ along with Statistical Feature Analysis, named as hybrid feature extraction has been proposed. Further, two classification techniques have been presented by involving Auto-Encoder Neural Network in addition to Support Vector Machine classifier. Here, Auto-Encoder is trained by using extracted feature vectors, and the resultant is subsequently tra ....

Encoder Neural Network , Statistical Feature Analysis , Auto Encoder Neural Network , Support Vector Machine , Auto Encoder Neural Network Classifier , Expectation Maximization , Anklet Transformation , Tatistical Features ,

The vaginal microbiome through the lens of systems biology

A new paper recently published online in Trends in Microbiology journal reviews the systems biology approach to explore the vaginal microbiome (VMB), helping to understand its composition and function and the mechanisms by which it interacts with the host. ....

Lab Diagnostics Automation , Lab Diagnostics Automation Industry , Automation Industry Focus , Model Based Integration , Metabolite Observations , Species Abundances , Data Integration Analysis , Biomarker Discovery , Generalized Lotka , Biomass Estimation , Model Inference , Expectation Maximization , Vaginal Microbiome , Bacterial Vaginosis , Inflammatory Disease , Machine Learning ,

Measuring the Size Distribution of Nanoparticles in Powders

In this article, Xenocs explains how to measure the size distribution of nanoparticles in powders, dispersions, and composites. ....

Louis Castel , Anglex Ray Scattering , Expectation Maximization , Applied Mathematics , Size Distribution ,

Q: What is a factor graph?

Q: What is a factor graph? A factor graph represents a global function of many variables as a product of local functions with smaller subsets of variabl ....

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