Jung Hoon Cho, 56118 Marrett Rd, Lexington, MA 02421

2022025, Aug 11, 2022

Jan 24, 2020

17/432248

- Lowell MA, US
Jung Hwan Cho - Dracut MA, US
Kye Wook Lee - Groton MA, US

Caide Systems, Inc. - Lowell MA

G06T 7/00
G06T 7/136
G06V 10/82

A method includes receiving, from a patient, an image having a visible lesion, modifying the image to appear as if the lesion were not present, thereby forming a second image, generating a delineation of the abnormality using a difference between the first and second images, and tagging the segmented lesions.

2020028, Sep 10, 2020

Sep 10, 2018

16/645240

- Boston MA, US
Jung Hwan Cho - Dracut MA, US

G06K 9/62
G06K 9/52
G16H 30/40
G16H 15/00
G16H 20/40

Supervised and unsupervised learning schemes may be used to automatically label medical images for use in deep learning applications. Large labeled datasets may be generated from a small initial training set using an iterative snowball sampling scheme. A machine learning powered automatic organ classifier for imaging datasets, such as CT datasets, with a deep convolutional neural network (CNN) followed by an organ dose calculation is also provided. This technique can be used for patient-specific organ dose estimation since the locations and sizes of organs for each patient can be calculated independently.

2020020, Jun 25, 2020

Dec 19, 2019

16/720277

- Lowell MA, US
Kye Wook Lee - Groton MA, US
Jung Hwan Cho - Dracut MA, US

G06T 7/00
G06T 5/00
G06K 9/62

This invention relates to estimating the window width and window level (center) which are typically used to view and then transform diagnostic imaging data to grayscale images. These grayscale images are then used to check the presence of diseases or abnormalities. For each individual diagnostic image, this invention automatically estimates the most appropriate values. This automatic estimation is done by a specialized module added on to a convolutional neural network-based disease detection system.