Abstract: A computer system that analyzes medical-imaging data to assess a risk for prostate cancer is described. The computer system may compute features (including intensity, texture and/or spatial features) based at least in part on the medical-imaging data. Then, using a pretrained predictive model, the computer system may determine cancer predictions on a voxel-by-voxel basis, based at least in part on the computed features. Note that the pretrained predictive model may include a boosted parallel random forests (BPRF) model with a boosted ensemble of bagging ensemble models, where a given bagging ensemble model includes an ensemble of random forests models. Next, the computer system may provide feedback based on the cancer predictions for the voxels. For a given voxel, the feedback may include a cancer prediction and a location. In some embodiments, for the given voxel, the feedback may include an aggressiveness of the predicted cancer and/or a recommended therapy.
Type:
Application
Filed:
February 24, 2023
Publication date:
August 24, 2023
Applicant:
Bot Image, Inc.
Inventors:
Jasser Dhaouadi, Ethan J. Ulrich, Randall W. Jones