Abnormal Tissue Detection Via Modal Upstream Data Fusion

A method for characterizing and locating abnormal tissue in an area of interest in a body, the method comprising:

• receiving first modality examination data of the area of interest captured by a medical imaging device, the first modality examination data comprising a plurality of first modality examination data segments, each first modality examination data segment being associated with a portion of the area of interest or a first modality sensor field of view into the area of interest;
• determining, by evaluating each first modality examination data segment with a computing machine, a set of first modality detection candidates based on the first modality examination data and a first modality feature likelihood model, each first modality detection candidate comprising a first modality likelihood score and a first modality relative location;
• generating, by a data fusion machine, a modal correspondence anatomic model of the area of interest by registering the plurality of first modality examination data segments;
• determining, by the data fusion machine, one or more modal abnormal tissue detections by fusing the set of first modality detection candidates using the modal correspondence anatomic model;
• and
• providing, by the data fusion machine, a modal diagnosis confidence score and a modal anatomic location based on the one or more modal abnormal tissue detections.