Medical Images are used as an important tool for determination of Pathological condition of the vital organs of the body like brain, lungs, liver, etc. Segmentation is the first step towards automatic processing for analysis and evaluation of medical images. Especially, image segmentation is a prerequisite process for image content understanding in brain MRI for the development of a computer ai...

RATIONALE AND OBJECTIVES This article deals with an automatic tissue segmentation of brain magnetic resonance imaging (MRI) in young children. MATERIALS AND METHODS We examine the suitability of state-of-the-art methods developed for the adult brain when applied to the segmentation of the brain MRI in young children. We develop a method of creation of a population-specific atlas in young chil...

3Professor, Department of ECE, AU, Vishakapatnam, Andhra Pradesh, India AbstractIn this paper, an efficient technique is proposed for the precise segmentation of normal and pathological tissues in the MRI brain images. The proposed segmentation technique initially performs classification process by utilizing Fuzzy Inference System (FIS) and FFBNN. Both classifiers are utilizing the extracted im...

Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive technique for medical image acquisition. Brain tumor segmentation process of algorithmically identifying tumors in brain MRI scans. While many approaches have been proposed literature segmentation, this paper proposes a lightweight implementation U-Net. Apart from providing real-time scans, architecture does not need large...

This Brain tumors are the mechanisms to control normal cells randomly and uncontrolled multiplication of cells in which growth is an abnormal mass of tissue. A tumor growth takes place within the skull and interferes with normal brain activity. Therefore, the first step is very important in tumor detection. Various techniques have been developed to detect tumors in the brain. Most crucial task ...