Patent ID: 9378551
Filing Date: 2016-06-28
CPC Classification: G06K,G06T

Claim Text:
1. A method for non-invasive lesion candidate selection in a patient's body, the method comprising: obtaining a number of first medical images of the patient's body; identifying lesion-like geometrical regions inside the first medical images of the patient's body by applying image processing methods and based on at least one of pixel and voxel characteristics of the first medical images, wherein the identifying is at least partly controlled by a number of patient-specific context features which are not directly extractable from the first medical images; selecting a number of the identified lesion-like geometrical regions as lesion candidates; wherein the identifying lesion-like geometrical regions includes applying a number of random decision trees, at least one of the random decision trees including decisions that are based on at least one of the patient-specific context features; and wherein the decisions based on the at least one of the patient-specific context features are arranged relatively closer to a root node of the at least one of the random decision trees than decisions based on the first medical images.