Analysis of Ultrasound Images in Hospital Based on Sonographic Observation

Abstract

We propose analysis system for ultrasound images based on text information of sonographic observation. The proposed system classifies 600000 ultrasound images without meta-information in Kochi medical school hospital based on image characteristics. The classified images are extracted for abnormal area based on structured data generated from sonographic observation. Using the proposed system, it is possible to reuse medical treatment information for analysis and study.