METHOD AND SYSTEM FOR TRAINING A SEPARATION OF OVERLAPPING CHROMOSOME RECOGNITION MODEL BASED ON SIMULATION

Patent №

US 11,348,238

Granted

2022-05-31

Filed 2020

Owner

EVER FORTUNE.AI CO., LTD.

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16908232

A method for training a chromosome recognition model includes: identifying objects on a karyotype image, obtaining a mask and a minimal bounding box of each of the chromosome objects, and obtaining an organized image that includes a set of organized chromosome objects; generating a simulated metaphase image in which the chromosome objects are randomly reorganized; detecting the plurality of chromosome objects on the simulated metaphase image; obtaining a recalibrated image in which the chromosome objects are separated from one another, so as to train the chromosome recognition model for identifying feature of chromosome objects included in an image.

Machine learningVisionPlanningAI hardwareG06V 20/698G06F 18/23211G06F 18/24G06T 3/60G06T 5/70G06T 7/0012G06T 7/73G06V 10/763+6 more

AI classification

Vision1.00
AI hardware1.00
Machine learning1.00
Planning0.60
Evolutionary computation0.40
Natural language0.00
Speech0.00
Knowledge representation0.00

Ownership

EVER FORTUNE.AI CO., LTD.

assignment · 530060538

Assignors

TCHOU, CHRISTIAN PASCAL, TSAI, FUU-JEN, LIAO, KEN YING-KAI, HUANG, TZUNG-CHI

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC