Classification of US liver images using machine learning techniques. Medical Image processing on Ultrasound liver diseases

      Аннотация: The field of medical imaging has experienced a period of rapid development over the last 2 decade has consequently revolutionized the way in which modern medicine is practiced.The disease and their symptoms are highly varying and always a need for a continuous update of knowledge for the doctors and medical analyst.The diseases fall into different categories and a small variation of symptoms may leave to some other categories of diseases.The work concentrates on diagnosing diseases like cyst,fatty,Hepatoma, Hemangioma and Cirrhosis from ultrasound liver images.The contribution of this book relies on following areas: Pre-processing by speckle reduction, Image registration, feature extraction, classification & retrieval.This is further supplemented by the medical analyst for a continuous treatment process.This book provides an automated system that could retrieve ultrasound liver images based on user's interest to a level of providing decision support is of high need.This book helps for the medical analyst to take decision before treatment and planning surgery. It provides sound knowledge to researcher who are all working in problems involved in ultrasound medical imaging.

Ключевые слова: Feature extraction, Retrieval, Registration, speckle, liver images, ultrasound modality, Liver Image classification