Cognitive States from Brain Images : SVM Approach

MULTI CLASS BRAIN TUMOR CLASSIFICATION OF MRI IMAGES USING HYBRID STRUCTURE DESCRIPTOR AND FUZZY LOGIC BASED RBF KERNEL SVM

Medical Image segmentation is to partition the image into a set of regions that are visually obvious and consistent with respect to some properties such as gray level, texture or color. Brain tumor classification is an imperative and difficult task in cancer radiotherapy. The objective of this research is to examine the use of pattern classification methods for distinguishing different types of...

Classification of polarimetric radar images based on SVM and BGSA

Classification of land cover is one of the most important applications of radar polarimetry images. The purpose of image classification is to classify image pixels into different classes based on vector properties of the extractor. Radar imaging systems provide useful information about ground cover by using a wide range of electromagnetic waves to image the Earthchr('39')s surface. The purpose ...

Detecting Cognitive States from f MRI Images by Machine Learning and Multivariante Classification

The major obstacle in building classifiers that robustly detect a particular cognitive state across different subjects using fMRI images has been the high inter-subject functional variability in brain activation patterns. To overcome this obstacle, firstly, the brain regions that are relevant to the problem under study are determined from the training data; then, statistical information of each...

Images of the Cognitive Brain Across Age and Culture

Network Analysis of Separated Cognitive States in the Human Brain

Network science is an insightful approach to studying data gained from fMRI scans. In this thesis we attempt to see if it is appropriate to make a distinction between "Task-positive" (TP) and "Task-negative" (TN) networks based on these scans, where the former is associated with the subjects' brain states when performing cognitive tasks and the latter when not performing cognitive tasks. The da...