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의사 라벨을 활용한 척추체 영상 분할 방법

Title
의사 라벨을 활용한 척추체 영상 분할 방법
Other Titles
Segmentation method of the vertebral body using the pseudo label
Author
문영식
Issue Date
2020-11
Publisher
대한전자공학회
Citation
2020년도 대한전자공학회 추계학술대회 논문집, Page. 451-454
Abstract
The deep learning method requires a lot of data to achieve good performance, but suffers from insufficient of data. This problem is particularly remarkable in the medical image processing. To solve this problem, a method of weakly supervised learning using pseudo-label is widely used. In this paper, we propose a method of segmenting the vertebral body by augmentation the data using the weakly supervised method in the lateral X-ray image of infants. The proposed method is designed based on U-Net network, which is widely used in medical image segmentation problems, and consists of one encoder and two decoders. Experimentally, the result shows that the performance of our method has been improved by 1.05 % over the previous method.
URI
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10521822https://repository.hanyang.ac.kr/handle/20.500.11754/165097
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ETC[S] > 연구정보
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