Reducing false positive detections of malignant lesions using multi-parametric magnetic resonance imaging

An apparatus, comprising:

• means for extracting one or more patches associated with a candidate malignant lesion from one or more medical images, the candidate malignant lesion representing a lesion detected as being malignant;
• means for classifying the candidate malignant lesion as being a true positive detection of a malignant lesion or a false positive detection of the malignant lesion based on the one or more extracted patches using a trained machine learning network;
• and
• means for outputting results of the classification.

A non-transitory computer readable medium storing computer program instructions, the computer program instructions when executed by a processor cause the processor to perform operations comprising:

• extracting one or more patches associated with a candidate malignant lesion from one or more medical images, the candidate malignant lesion representing a lesion detected as being malignant;
• classifying the candidate malignant lesion as being a true positive detection of a malignant lesion or a false positive detection of the malignant lesion based on the one or more extracted patches using a trained machine learning network;
• and
• outputting results of the classification.