Abstract:
An apparatus for analyzing a medical image includes an image receiving unit configured to receive two or more medical images from a medical device; a image registration unit configured to register the two or more received medical images; an overlapped area detecting unit configured to detect overlapped areas in the two or more registered medical images; and a lesion analyzing unit configured to analyze lesions in the two or more registered medical images by employing different analysis techniques in the detected overlapped areas.
Abstract:
An apparatus and a method for diagnosis are provided. The apparatus for diagnosis lesion include: a model generation unit configured to categorize learning data into one or more categories and to generate one or more categorized diagnostic models based on the categorized learning data, a model selection unit configured to select one or more diagnostic model for diagnosing a lesion from the categorized diagnostic models, and a diagnosis unit configured to diagnose the lesion based on image data of the lesion and the selected one or more diagnostic model.
Abstract:
An apparatus for analyzing a medical image includes an image receiving unit configured to receive two or more medical images from a medical device; a image registration unit configured to register the two or more received medical images; an overlapped area detecting unit configured to detect overlapped areas in the two or more registered medical images; and a lesion analyzing unit configured to analyze lesions in the two or more registered medical images by employing different analysis techniques in the detected overlapped areas.
Abstract:
A lesion diagnosis apparatus and a lesion diagnosis method are provided. A lesion-surrounding area determination unit is configured to determine an existence of a lesion-surrounding area from continuous medical images. A feedback provision unit is configured to generate feedback information about a presence of a lesion in the lesion-surrounding area.
Abstract:
An apparatus and a method for diagnosis are provided. The apparatus for diagnosis lesion include: a model generation unit configured to categorize learning data into one or more categories and to generate one or more categorized diagnostic models based on the categorized learning data, a model selection unit configured to select one or more diagnostic model for diagnosing a lesion from the categorized diagnostic models, and a diagnosis unit configured to diagnose the lesion based on image data of the lesion and the selected one or more diagnostic model.