US 2025/0061605 A1 · HYBRID 3D-TO-2D SLICE-WISE OBJECT LOCALIZATION ENSEMBLES

Hybrid 3d-to-2d slice-wise object localization ensembles

AssigneeGE Precision Healthcare LLC

InventorsSandeep Dutta, Christopher Philip Bridge, Charles Jiali Lu, Mitchel B Harris, Bharti Khurana, Praveer Singh, Mehak Aggarwal, Sujay Shivanand Kakarmath, Ashwin Vaswani, Amy Deubig, Saad Sirohey, Jayashree Kalpathy-Cramer

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Abstract

Systems or techniques that facilitate hybrid 3D-to-2D slice-wise object localization ensembles are provided. In various embodiments, a system can access at least one three-dimensional voxel array. In various aspects, the system can localize, via execution of a deep learning ensemble, an object depicted in the at least one three-dimensional voxel array. In various instances, the deep learning ensemble can receive as input the at least one three-dimensional voxel array. In various cases, the deep learning ensemble can produce as output a set of two-dimensional object location indicators respectively corresponding to a set of two-dimensional slices of the at least one three-dimensional voxel array.

Claims20

Dependent claims

A system, comprising:

a processor that executes computer-executable components stored in a non-transitory computer-readable memory, wherein the computer-executable components comprise:
an access component that accesses at least one three-dimensional voxel array;
and
a model component that localizes, via execution of a deep learning ensemble, an object depicted in the at least one three-dimensional voxel array, wherein the deep learning ensemble receives as input the at least one three-dimensional voxel array, and wherein the deep learning ensemble produces as output a set of two-dimensional object location indicators respectively corresponding to a set of two-dimensional slices of the at least one three-dimensional voxel array.

1 more element

A computer-implemented method, comprising:

accessing, by a device operatively coupled to a processor, at least one three-dimensional voxel array;
and
localizing, by the device and via execution of a deep learning ensemble, an object depicted in the at least one three-dimensional voxel array, wherein the deep learning ensemble receives as input the at least one three-dimensional voxel array, and wherein the deep learning ensemble produces as output a set of two-dimensional object location indicators respectively corresponding to a set of two-dimensional slices of the at least one three-dimensional voxel array.

A computer program product for facilitating hybrid 3D-to-2D slice-wise object localization ensembles, the computer program product comprising a computer-readable memory having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

access at least one three-dimensional voxel array depicting a cervical spine of a medical patient;
and
localize, via execution of a deep learning ensemble, a fracture in the cervical spine, wherein the deep learning ensemble receives as input the at least one three-dimensional voxel array, and wherein the deep learning ensemble produces as output a set of two-dimensional fracture location indicators respectively corresponding to a set of two-dimensional slices of the at least one three-dimensional voxel array.

Dependencies are inferred from the claim text.