Abstract:
본 발명에 의한 통계적 영상정보를 이용한 유방 밀도 자동 측정방법은, 유방 X선 영상을 읽어 들인 후 유방 영역을 추출하고 히스토그램을 정렬하는 전처리 단계; 사전 통계적 정보를 추출하고, 유관조직과 지방조직의 확률지도를 생성하는 조직 확률 지도 생성 단계; 및 생성된 조직 확률 지도를 기반으로 유방 영역을 분할하여 유방의 밀도를 정량적으로 계산하는 밀도 측정 단계를 포함하여 이루어진다.
Abstract:
PURPOSE: A both eyes image data creating terminal and method thereof are provided to prevent the degradation of a testing power for a specific signal by analyzing one or more image data. CONSTITUTION: A communication unit(10) receives one or more first image data from outside. A control unit(50) analyzes the received first image data. The control unit extracts the feature component of the first image data. The control unit overlaps the first image data with second image data. The control unit creates third image data in order to express both eyes image data. An output unit(30) outputs the third image data.
Abstract:
PURPOSE: A system for automatically detecting a lesion is provided to reduce a read time of a capsule endoscope image by automatically detecting the lesion from the capsule endoscope image. CONSTITUTION: A capsule endoscope image transceiver(10) converts a signal transmitted from a capsule endoscope into a capsule endoscope image. A lesion detection server(20) includes an image storage unit, a lesion detection unit, and a caller for a person in charge. The image storage unit stores the capsule endoscope image. The lesion detection unit detects the lesion from the capsule endoscope image. The caller for the person in charge provides inspection abnormality information or lesion detection information to a doctor in charge or patient. A user interface unit(30) provides the capsule endoscope image, the inspection process state, and the lesion detection information to the doctor in charge in real time.