公开(公告)号：WO2023058067A1

公开(公告)日：2023-04-13

申请号：PCT/IN2022/050904

申请日：2022-10-07

Applicant: QURE.AI TECHNOLOGIES PRIVATE LIMITED

Inventor： WARIER, Prashant ,  MODI, Ankit ,  PUTHA, Preetham ,  VANAPALLI, Prakash ,  CHALLA, Vikash

IPC: G06T7/00 ,  G16H30/40 ,  G06N20/00 ,  A61B6/032 ,  A61B6/50 ,  A61B6/5217 ,  A61B6/5223 ,  A61B6/5258 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T5/002 ,  G06T7/0012 ,  G06T7/0016 ,  G06T7/11 ,  G06T7/40 ,  G06T7/62 ,  G06V10/25 ,  G06V10/273 ,  G06V10/75 ,  G06V10/82 ,  G06V2201/03 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30

Abstract: Disclosed is a system (102) 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：WO2023058065A1

公开(公告)日：2023-04-13

申请号：PCT/IN2022/050902

申请日：2022-10-07

Applicant: QURE.AI TECHNOLOGIES PRIVATE LIMITED

Inventor： WARIER, Prashant ,  MODI, Ankit ,  PUTHA, Preetham ,  VANAPALLI, Prakash ,  THUMMALA, Pradeep Kumar ,  SENAPATHI, Vijay ,  KUMAR, Kunjesh

IPC: A61B6/03 ,  G06T7/00 ,  G16H30/00 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/60 ,  G06V10/25 ,  G06V10/764 ,  G06V10/7788 ,  G06V2201/032 ,  G16H15/00 ,  G16H30/40 ,  G16H40/67 ,  G16H50/20

Abstract: Disclosed is a system (102) and a method for adapting a report of nodules in computed tomography (CT) scan image. A CT scan image may be resampled into a plurality of slices. A plurality of region of interests may be identified on each slice using an image processing technique. Subsequently, a plurality of nodules may be detected in each region of interest using the deep learning. Further, a plurality of characteristics associated with each nodule may be identified. The plurality of nodules may be classified into AI-confirmed nodules and AI-probable nodules based on a malignancy score. Further, feedback associated with the AI-confirmed nodules and the AI-probable may be received form a radiologist. Furthermore, data may be adapted based on the feedback. Finally, a report comprising adapted data may be generated.