Systems and Methods for Automated Diagnosis of Disease Related Risk Factors in 3D Biomedical Imaging

A method to predict biomarkers in biomedical imaging, comprising:

• reshaping a plurality of three-dimensional images into a plurality of two-dimensional images by stacking a plurality of slices of said three-dimensional images on top of one another using a computer system;
• applying a pre-trained feature extractor to the plurality of two-dimensional images, wherein the pre-trained feature extractor independently operates on each of the plurality of two-dimensional images, and generates a plurality of feature maps;
• applying a convolutional neural network to operate across the plurality of feature maps, wherein the convolutional neural network produces a feature vector;
• and
• generating an output of biomarker prediction, wherein the prediction is a transformation of the feature vector;
• wherein the plurality of three-dimensional images is selected from a group consisting of:
• optical coherent tomography images, ultrasound images, magnetic resonance imaging images, and computed tomography images.