Invention Grant
- Patent Title: Method of classifying lesion of chest x-ray radiograph based on data normalization and local patch and apparatus thereof
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Application No.: US17352229Application Date: 2021-06-18
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Publication No.: US12056880B2Publication Date: 2024-08-06
- Inventor: JongChul Ye , Sangjoon Park , Yujin Oh , Gwanghyun Kim
- Applicant: Korea Advanced Institute of Science and Technology
- Applicant Address: KR Daejeon
- Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Daejeon
- Agency: Hamilton, Brook, Smith & Reynolds, P.C.
- Priority: KR 20200096983 2020.08.03 KR 20210030204 2021.03.08 KR 20210039509 2021.03.26 KR 20210070757 2021.06.01
- Main IPC: G06T7/143
- IPC: G06T7/143 ; G06T7/11

Abstract:
Disclosed are a method of classifying lesions of chest x-ray radiographs based on data normalization and local patches and an apparatus thereof. The method includes converting an input chest x-ray radiograph into a normalized image, segmenting the converted normalized image into an organ area by using a first neural network based on a pre-learned segmentation model, generating local patches for the segmented organ area, and classifying a lesion in the input chest x-ray radiograph by using a second neural network based on a pre-learned classification model for the generated local patches.
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