IP Library Patent Application 19073876
Patent Application
App. No. 19/073,876

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES OF CORES

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Quick Facts
Patent No.
US None
App. No.
19/073,876
Abstract

A computer-implemented method for analyzing electronic medical images, including: receiving a plurality of medical images associated with a patient; determining one or more bounding shapes for each of the plurality of medical images, each of the bounding shapes surrounding to a continuous tissue sample depicted in the plurality of medical images; based on the one or more bounding shapes, determining a plurality of levels of the tissue sample; and determining a three-dimensional association of the plurality of levels.

Claims (43)

1 . A computer-implemented method for analyzing electronic medical images, comprising:

receiving a plurality of medical images associated with a patient;

determining one or more bounding shapes for each of the plurality of medical images, each of the bounding shapes surrounding to a continuous tissue sample depicted in the plurality of medical images;

based on the one or more bounding shapes, determining a plurality of levels of the tissue sample; and

determining a three-dimensional association of the plurality of levels.

2 . The method of claim 1 , wherein the bounding shapes are determined by determining the images of a tissue sample and identifying a contour region of each tissue.

3 . The method of claim 1 , wherein determining a three-dimensional association comprises determining an order of the plurality of levels of the tissue sample based on a similarity index.

4 . The method of claim 1 , further comprising:

stacking and displaying, based on the three-dimensional association, the plurality of levels into at least one multipanel view.

5 . The method of claim 1 , further comprising:

determining a plurality of benign core levels; and

rendering the plurality of benign core levels into a single image view.

6 . The method of claim 1 , wherein the plurality of medical images come from a single tissue that has been restained, and wherein the plurality of medical images are stacked to identify the same region across the plurality of medical images.

7 . The method of claim 1 , wherein the bounding shapes comprise boxes.

8 . A system for analyzing electronic medical images, the system comprising:

at least one memory storing instructions; and

at least one processor configured to execute the instructions to perform operations comprising:

receiving a plurality of medical images associated with a patient;

determining one or more bounding shapes for each of the plurality of medical images, each of the bounding shapes surrounding to a continuous tissue sample depicted in the plurality of medical images;

based on the one or more bounding shapes, determining a plurality of levels of the tissue sample; and

determining a three-dimensional association of the plurality of levels.

9 . The system of claim 8 , wherein the bounding shapes are determined by determining the images of a tissue sample and identifying a contour region of each tissue.

10 . The system of claim 8 , wherein determining a three-dimensional association comprises determining an order of the plurality of levels of the tissue sample based on a similarity index.

11 . The system of claim 8 , further comprising:

stacking and displaying, based on the three-dimensional association, the plurality of levels into at least one multipanel view.

12 . The system of claim 8 , further comprising:

determining a plurality of benign core levels; and

rendering the plurality of benign core levels into a single image view.

13 . The system of claim 8 , wherein the plurality of medical images come from a single tissue that has been restained, and wherein the plurality of medical images are stacked to identify the same region across the plurality of medical images.

14 . The system of claim 8 , wherein the bounding shapes comprise boxes.

15 . A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform operations analyzing electronic medical images, the operations comprising:

receiving a plurality of medical images associated with a patient;

determining one or more bounding shapes for each of the plurality of medical images, each of the bounding shapes surrounding to a continuous tissue sample depicted in the plurality of medical images;

based on the one or more bounding shapes, determining a plurality of levels of the tissue sample; and

determining a three-dimensional association of the plurality of levels.

16 . The computer-readable medium of claim 15 , wherein the bounding shapes are determined by determining the images of a tissue sample and identifying a contour region of each tissue.

17 . The computer-readable medium of claim 15 , wherein determining a three-dimensional association comprises determining an order of the plurality of levels of the tissue sample based on a similarity index.

18 . The computer-readable medium of claim 15 , further comprising:

stacking and displaying, based on the three-dimensional association, the plurality of levels into at least one multipanel view.

19 . The computer-readable medium of claim 15 , further comprising:

determining a plurality of benign core levels; and

rendering the plurality of benign core levels into a single image view.

20 . The computer-readable medium of claim 15 , wherein the plurality of medical images come from a single tissue that has been restained, and wherein the plurality of medical images are stacked to identify the same region across the plurality of medical images.

Assignments (3)
RELEASE OF SECURITY INTEREST Recorded May 14, 2026
From: ARES CAPITAL CORPORATION, AS COLLATERAL AGENT
To: PAIGE.AI, INC.
Reel/Frame 075589/0752 →
SECURITY INTEREST Recorded Oct 21, 2025
From: PAIGE.AI, INC.
To: ARES CAPITAL CORPORATION, AS COLLATERAL AGENT
Reel/Frame 073216/0876 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 27, 2025
From: AGHDAM, HAMED H.; BURZA, MAREK KRZYSZTOF; CHOW, BONNIE; TRLIFAJ TYDLITATOVA, LUDMILA; MALFROID, KASPER; MILLETARI, FAUSTO; GORTON, DANIELLE
To: PAIGE.AI, INC.
Reel/Frame 070650/0750 →