Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. In discontinuity based approach images are partitioned on the basis of abrupt changes in intensity, such as edge detection, line detection and point detection. In this paper we are a multilevel masking based image segmentation technique which will analyze the image information more accurately.
Machine learning is a popular approach in the field of healthcare. Healthcare is an important industry that provides service to millions of people and as well as at the same time becoming top revenue earners in many countries. Machine learning in healthcare helps to analyze thousands of different data points and suggest outcomes, provide timely risk factors, optimize resource allocation. Machine learning is playing a critical role in patient care, billing processing to set the target to marketing and sales team, and medical records for patient monitoring and readmission, etc. Machine learning is allowing healthcare specialists to develop alternate staffing models, intellectual property management, and using the most effective way to capitalize on developed intellectual property assets. Machine learning approaches provide smart healthcare and reduce administrative and supply costs. Today healthcare industry is committed to deliver quality, value, and satisfactory outcomes.
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