IP Library Patent Application 19263746
Patent Application
App. No. 19/263,746

SYSTEMS AND METHODS FOR IMPROVING VISUALIZATION OF PROCESSED IMAGES

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Quick Facts
Patent No.
US None
App. No.
19/263,746
Abstract

A method for improving visualization of processed images which may include: determining a plurality of annotated points associated with a selected image, determining a default visualization of each annotated point of the plurality of annotated points in the selected image, determining a display image by determining a blended visualization for each pixel of the display image based on the plurality of annotated points of the selected image corresponding to the pixel, and displaying the determined display image.

Claims (42)

1 . ​A computer-implemented method for improving visualization of processed images, the method comprising:

determining a plurality of annotated points associated with a selected image;

determining a default visualization of each annotated point of the plurality of annotated points in the selected image;

determining a display image by determining a blended visualization for each pixel of the display image based on the plurality of annotated points of the selected image corresponding to the pixel; and

outputting the determined display image.

2 . The computer-implemented method of claim 1 , wherein the blended visualization is determined by steps comprising:

averaging the default visualizations of each annotated point of the plurality of annotated points corresponding to each pixel in the selected image; and

computing and drawing contours around the default visualizations of the plurality of annotated points.

3 . ​The computer-implemented method of claim 1 , wherein the selected image is a whole slide image (WSI), and wherein each annotated point among the plurality of annotated points comprises information about a region of the WSI, tissue depicted in the WSI, a cell depicted in the WSI, or a tile of the WSI.

4 . ​The computer-implemented method of claim 3 , wherein information of the annotated point comprises one or more of a type of tissue depicted, the type of tissue being one of cell tissue, foreground tissue, or background tissue, a characterization of a cell, the characterization being one or more of positive, negative, good, bad, cancer, or benign, or an attribute of tissue depicted, the attribute being one or more of a gene expression, an abnormality, or a morphology.

5 . ​The computer-implemented method of claim 1 , wherein the default visualization associated with the plurality of annotated points are determined by a look up table, an algorithmic process, or an artificial intelligence system.

6 . ​The computer-implemented method of claim 1 ,

wherein the default visualizations associated with the plurality of annotated points corresponding to the pixel include visualizations of a first type and visualizations of a second type, and wherein the blended visualization of each pixel of the display image is determined based on a number or a percentage of annotations with visualizations of the second type being below a threshold.

7 . ​The computer-implemented method of claim 1 , wherein the blended visualization of each pixel of the display image is determined by a lookup table, an algorithmic blending, or a user-specified substitution.

8 . ​The computer-implemented method of claim 1 ,

wherein the default visualizations associated with the plurality of annotated points corresponding to the pixel include visualizations of a first type and visualizations of a second type, and wherein the blended visualization of each pixel of the display image is weighted based on a proportion of the visualizations of the first type and the visualizations of the second type.

9 . ​The computer-implemented method of claim 1 ,

wherein the blended visualization of each pixel of the display image is weighted based on a density of the default visualizations associated with the plurality of annotated points corresponding to the pixel.

10 . ​The computer-implemented method of claim 1 , wherein the default visualizations associated with the plurality of annotated points corresponding to the pixel include visualizations of a first type, visualizations of a second type, and visualizations of a third type.

11 . ​A system for improving visualization of processed images, the system comprising:

a data storage device storing instructions for improving visualization of processed images in an electronic storage medium; and

a processor configured to execute the instructions to perform operations comprising:

determining a plurality of annotated points associated with a selected image;

determining a default visualization of each annotated point of the plurality of annotated points in the selected image;

determining a display image by: determining a blended visualization for each pixel of the display image based on the plurality of annotated points of the selected image corresponding to the pixel; and outputting the determined display image.

12 . ​The system of claim 11 , wherein the blended visualization is determined by steps comprising:

averaging the default visualizations of each annotated point of the plurality of annotated points corresponding to each pixel in the selected image; and

computing and drawing contours around the default visualizations of the plurality of annotated points.

13 . ​The system of claim 11 , wherein the default visualizations associated with the plurality of annotated points corresponding to the pixel include visualizations of a first type and visualizations of a second type, and wherein the blended visualization of each pixel of the display image is determined based on a number or a percentage of annotations with visualizations of the second type being below a threshold.

14 . ​The system of claim 11 , wherein the blended visualization of each pixel of the display image is determined by a lookup table, an algorithmic blending, or a user-specified substitution.

15 . ​The system of claim 11 , wherein the blended visualization of each pixel of the display image is weighted based on a density of the visualizations associated with the annotations corresponding to the pixel.

16 . ​A non-transitory machine-readable medium storing instructions that, when executed by a computing system, causes the computing system to perform operations for improving visualization of processed images, the operations comprising:

determining a plurality of annotated points associated with a selected image;

determining a default visualization of each annotated point of the plurality of annotated points in the selected image;

determining a display image by determining a blended visualization for each pixel of the display image based on the plurality of annotated points of the selected image corresponding to the pixel; and

outputting the determined display image.

17 . The non-transitory machine-readable medium of claim 16 , wherein the blended visualization is determined by steps comprising:

averaging the default visualizations of each annotated point of the plurality of annotated points corresponding to each pixel in the selected image; and

computing and drawing contours around the default visualizations of the plurality of annotated points.

18 . ​The non-transitory machine-readable medium of claim 16 , wherein the default visualizations associated with the plurality of annotated points corresponding to the pixel include visualizations of a first type and visualizations of a second type, and wherein the blended visualization of each pixel of the display image is determined based on a number or a percentage of annotations with visualizations of the second type being below a threshold.

19 . ​The non-transitory machine-readable medium of claim 16 , wherein the blended visualization of each pixel of the display image is determined by a lookup table, an algorithmic blending, or a user-specified substitution.

20 . ​The non-transitory machine-readable medium of claim 16 , wherein the blended visualization of each pixel of the display image is weighted based on a density of the visualizations associated with the annotations corresponding to the pixel.

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 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 14, 2025
From: ALTUNDAG, ALI MEHMET
To: PAIGE.AI, INC.
Reel/Frame 072903/0729 →
SECURITY INTEREST Recorded Oct 21, 2025
From: PAIGE.AI, INC.
To: ARES CAPITAL CORPORATION, AS COLLATERAL AGENT
Reel/Frame 073216/0876 →