Siemens Healthcare Gmbh

Siemens Healthineers Ag

Yiyuan Zhao

Gerardo Hermosillo Valadez

Siqi Liu

Zhigang Peng

Parmeet Singh Bhatia

Anna Jerebko

Yu Zhao

Parmeet Bhatia

Ke Zeng

Chen Li

A computer-implemented method is for classifying a region of interest in a medical image data set depicting a body part of a patient. The region of interest contains an object of potential pathological relevance. In an embodiment, the method includes a plurality of steps. One step is directed to generate a plurality of different representations of the region of interest. Another step is directed to determine, for each of the representations, a classification to generate a corresponding plurality of classifications. Thereby, each classification indicates a pathological relevance of the object in the respective representation. Yet, a further step is directed to calculate an ensemble classification for the region of interest based on the plurality of classifications.

Method and system for computer aided detection of abnormalities in image data

Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.

Medical image data

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Malvern, PA, United States of America

Yiyuan Zhao