公开(公告)号：US12051216B2

公开(公告)日：2024-07-30

申请号：US17375982

申请日：2021-07-14

Applicant: GE Precision Healthcare LLC

Inventor： Sean P. OConnor ,  Justin Tyler Wright ,  Ravi Soni ,  James Gualtieri ,  Kristin Anderson

IPC: G06T7/38 ,  G06F3/0481 ,  G06F3/04842 ,  G06F3/04845 ,  G06F3/04847 ,  G06F3/0485 ,  G06F18/214 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/136 ,  G06V10/25 ,  G06V10/774

CPC classification number: G06T7/38 ,  G06F3/04842 ,  G06F18/2155 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06V10/25

Abstract: The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.

公开(公告)号：US20230016464A1

公开(公告)日：2023-01-19

申请号：US17375982

申请日：2021-07-14

Applicant: GE Precision Healthcare LLC

Inventor： Sean P. OConnor ,  Justin Tyler Wright ,  Ravi Soni ,  James Gualtieri ,  Kristin Anderson

IPC: G06T7/38 ,  G06N20/00 ,  G06K9/62 ,  G06K9/32 ,  G06T7/00 ,  G06T7/11 ,  G06T7/136 ,  G06F3/0484

Abstract: The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.

公开(公告)号：US20240354972A1

公开(公告)日：2024-10-24

申请号：US18761164

申请日：2024-07-01

Applicant: GE Precision Healthcare LLC

Inventor： Sean P. OConnor ,  Justin Tyler Wright ,  Ravi Soni ,  James Gualtieri ,  Kristin Anderson

IPC: G06T7/38 ,  G06F3/04842 ,  G06F18/214 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/136 ,  G06V10/25

CPC classification number: G06T7/38 ,  G06F3/04842 ,  G06F18/2155 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06V10/25

Abstract: The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.