The present invention relates to a method and system for automatically discovering, segmenting and measuring a lesion in a medical image according to a response evaluation criteria (RECIST) protocol in a solid tumor.More specifically, the present invention is based on segmentation, 3D volume masks and models, measurements in 2D and 3D, and input image tomography (CT) scan with additional image masks for statistical change analysis over scans taken at different times Generate an extended version.According to a first embodimentTo receive image data andDetermining one or more locations of one or more lesions in the image data;An image segmentation that includes one or more locations of one or more lesions in the image dataCreate a mask or outline andIncluding determining the volumetric properties of the lesion using image segmentationA method of determining the volumetric characteristics of one or more lesions in a medical image is provided.Diagram
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