公开(公告)号：US12190563B2

公开(公告)日：2025-01-07

申请号：US17812308

申请日：2022-07-13

Applicant: Optum, Inc.

Inventor： Rama Krishna Singh ,  Ravi Pande ,  Priyank Jain

IPC: G06V10/764 ,  G06V10/10 ,  G06V10/22 ,  G06V10/56

Abstract: As described herein, various embodiments of the present invention disclose techniques that improve efficiency of performing image-based machine learning operations on large images while limiting accuracy drawbacks of partial processing of those large images by using composite-tiled image embeddings for composite-tiled images generated by merging multiple tiled images that are generated using multiple tiling mechanisms. For example, in some embodiments, given an input image that comprises R image regions, each tiled image comprises N selected image regions of the R image regions that are selected in accordance with a tiling mechanism (where N

公开(公告)号：US20240020946A1

公开(公告)日：2024-01-18

申请号：US17812308

申请日：2022-07-13

Applicant: Optum, Inc.

Inventor： Rama Krishna Singh ,  Ravi Pande ,  Priyank Jain

IPC: G06V10/764 ,  G06V10/10 ,  G06V10/22 ,  G06V10/56

CPC classification number: G06V10/764 ,  G06V10/16 ,  G06V10/22 ,  G06V10/56 ,  G06V2201/03

Abstract: As described herein, various embodiments of the present invention disclose techniques that improve efficiency of performing image-based machine learning operations on large images while limiting accuracy drawbacks of partial processing of those large images by using composite-tiled image embeddings for composite-tiled images generated by merging multiple tiled images that are generated using multiple tiling mechanisms. For example, in some embodiments, given an input image that comprises R image regions, each tiled image comprises N selected image regions of the R image regions that are selected in accordance with a tiling mechanism (where N