Abstract: 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.
Type:
Grant
Filed:
January 24, 2020
Date of Patent:
June 11, 2024
Assignee:
Caide Systems, Inc.
Inventors:
Manohar Karki, Jung Hwan Cho, Kye Wook Lee
Abstract: 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.
Type:
Application
Filed:
January 24, 2020
Publication date:
August 11, 2022
Applicant:
Caide Systems, Inc.
Inventors:
Manohar Karki, Jung Hwan Cho, Kye Wook Lee
Abstract: 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.
Type:
Grant
Filed:
December 19, 2019
Date of Patent:
October 19, 2021
Assignee:
Caide Systems, Inc.
Inventors:
Manohar Karki, Kye Wook Lee, Jung Hwan Cho
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