公开(公告)号：US12243297B2

公开(公告)日：2025-03-04

申请号：US17597714

申请日：2020-07-20

Applicant: The Regents of the University of California

Inventor： Jitendra Malik ,  Pratik Mukherjee ,  Esther L. Yuh ,  Wei-Cheng Kuo ,  Christian Haene

IPC: G06V10/82 ,  G06T7/00 ,  G06V10/764 ,  G06V10/774

Abstract: A computer-implemented method can include a training phase and a hemorrhage detection phase. The training phase can include: receiving a first plurality of frames from at least one original computed tomography (CT) scan of a target subject, wherein each frame may or may not include a visual indication of a hemorrhage, and further wherein each frame including a visual indication of a hemorrhage has at least one label associated therewith; and using a fully convolutional neural network (FCN) to train a model by determining, for each of the first plurality of frames, whether at least one sub-portion of the frame includes a visual indication of a hemorrhage and classifying the sub-portion of the frame based on the determining. The hemorrhage detection phase can include: receiving a second plurality of frames from a CT scan of a target subject, wherein each frame may or may not include a visual indication of a hemorrhage; and determining, for each of the second plurality of frames, whether a plurality of sub-portions of the frame includes a visual indication of a hemorrhage based at least in part on the trained model.