Title:
DEEP LEARNING-BASED CEREBRAL HEMORRHAGE DIAGNOSTIC DEVICE AND METHOD
Document Type and Number:
WIPO Patent Application WO/2022/182178
Kind Code:
A1
Abstract:
A deep learning-based cerebral hemorrhage diagnostic method comprises: a step in which an image acquisition unit acquires a plurality of computed tomography (CT) images by imaging a patient's brain; a step in which a lesion detection unit detects a cerebral hemorrhage lesion region from the plurality of two-dimensional CT images through a deep learning model; a step in which a cerebral hemorrhage probability calculation unit calculates the cerebral hemorrhage probability of the patient on the basis of the detected region; and a step in which the cerebral hemorrhage probability calculation unit outputs the cerebral hemorrhage probability.
Inventors:
KIM WON TAE (KR)
KIM DONG MIN (KR)
LEE MYUNG JAE (KR)
KANG SHIN UK (KR)
PARK JONG HYEOK (KR)
PARK GI HUN (KR)
KIM DONG MIN (KR)
LEE MYUNG JAE (KR)
KANG SHIN UK (KR)
PARK JONG HYEOK (KR)
PARK GI HUN (KR)
Application Number:
PCT/KR2022/002736
Publication Date:
September 01, 2022
Filing Date:
February 24, 2022
Export Citation:
Assignee:
JLK INC (KR)
International Classes:
G16H50/20; A61B6/00; A61B6/03; G06T7/00; G16H30/20; G16H30/40; G16H50/50; G16H50/70
Foreign References:
| KR102015224B1 | 2019-10-21 | |||
| KR102165840B1 | 2020-10-16 | |||
| KR20160082950A | 2016-07-11 | |||
| KR101740464B1 | 2017-06-08 | |||
| KR20200135171A | 2020-12-02 |
Attorney, Agent or Firm:
SEWON PATENT LAW FIRM (KR)
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