and focus on disease prevention. Edelman, Kudama and Mandle (2014) suggested that the modern movement for nurse practitioners began in 1965, which allowed nurses to become primary care providers in various health care settings. The purpose of this paper is to look at the role and settings of the Family Nurse Practitioner. Advance Practice Nursing
Abstract—Brain image segmentation is challenging task for proper clinical diagnosis. In this paper we present automatic segmentation of the brain into four classes namely background, cerebro spinal fluid, grey matter and white matter. Accurate segmentation of the tumor in the brain is also achieved using the proposed method. Segmentation is achieved by calculating the distance of pixel with respect to the mean and passing only those pixels having a specified variance by assuming a Gaussian distribution
Recently due to internet growth, lots of medical digital images are being shared between medical experts and hospitals for better and more precise diagnosis,as well as for research and educational purpose and also for many other commercial and non-commercial applications. In modern times now, all the integrated health care systems like Hospital Information System (HIS) and Picture Archiving and Communication System (PACS) allow easy distribution of medical imageswherethe whole or the region of interest(ROI)
1 OBJECTIVE AND PROBLEM STATEMENT 1.1 Objective To implement Brain Tumour Segmentation based on Local Independent Projection-based Classification. In which Local independent projection based classification consider data distribution of different classes by learning Softmax regression model which improve classification performance. 1.2 Problem Statement Brain tumour segmentation is an important procedure for early tumour diagnosis and radiotherapy planning. Although numerous brain tumour segmentation