公开(公告)号：US11521321B1

公开(公告)日：2022-12-06

申请号：US17457465

申请日：2021-12-03

Applicant: Qure.ai Technologies Private Limited

Inventor： Prashant Warier ,  Ankit Modi ,  Preetham Putha ,  Prakash Vanapalli ,  Vikash Challa

IPC: G06T7/00 ,  G06T7/62 ,  G06T5/00 ,  G06T7/11 ,  G06V10/25 ,  G06V10/26 ,  G06V10/82 ,  G06V10/75 ,  A61B6/03 ,  A61B6/00 ,  G16H30/40 ,  G16H50/30 ,  G16H50/20 ,  G06T7/20 ,  G06T7/40

Abstract: Disclosed is a system and a method for monitoring a CT scan image. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A region of interest may be identified on each slice using an image processing technique. The region of interest may be masked on each slice using deep learning. Subsequently, a nodule may be detected as the region of interest using the deep learning. Further, a plurality of characteristics associated with the nodule may be identified. Furthermore, an emphysema may be detected in the region of interest on each slice. A malignancy risk score for the patient may be computed. A progress of the nodule may be monitored across subsequent CT scan images. Finally, a report of the patient may be generated.

公开(公告)号：US11861832B2

公开(公告)日：2024-01-02

申请号：US18073697

申请日：2022-12-02

Applicant: Qure.ai Technologies Private Limited

Inventor： Prashant Warier ,  Ankit Modi ,  Preetham Putha ,  Prakash Vanapalli ,  Vikash Challa ,  Ranjana Devi ,  Ritvik Jain

IPC: G06T7/00 ,  A61B6/00 ,  G06T7/11 ,  G06V10/25 ,  G06T5/00 ,  G16H30/20

CPC classification number: G06T7/0012 ,  A61B6/50 ,  A61B6/5217 ,  A61B6/5258 ,  A61B6/5294 ,  G06T5/002 ,  G06T7/11 ,  G06V10/25 ,  G16H30/20 ,  G06T2207/10081 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30064 ,  G06T2207/30096

Abstract: Disclosed is a system and a method for determining a brock score. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A nodule may be detected on one or more of the plurality of slices. A region of interest associated with the nodule may be identified using an image processing technique. Further, a nodule segmentation may be performed to remove an area surrounding the region of interest. Subsequently, a plurality of characteristics associated with the nodule may be identified automatically using a deep learning model. Finally, a brock score for the patient may be determined based on the plurality of characteristics and demographic data of the patient.