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논문 기본 정보

자료유형
학술대회자료
저자정보
Hikaru Ono (Kyushu Institute of Technology) Seiichi Murakami (University of Occupational and Environmental Health) Tohru Kamiya (Kyushu Institute of Technology) Takatoshi Aoki (University of Occupational and Environmental Health)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2021
발행연도
2021.10
수록면
1,788 - 1,791 (4page)

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초록· 키워드

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The number of hospitalized patients and the number of people requiring nursing care are serious social problems in Japan due to the increasing elderly population. The major causes of bedridden patients are bone and joint disorders caused by rheumatoid arthritis and osteoporosis. Early detection and treatment of these bone diseases are important because they significantly interfere with the quality of life (QOL) as the symptoms progress. Visual screening based on CR is used as a diagnosing tool for bone diseases. However, imaging diagnosis is subjective and lacks objectivity, and there is a possibility that lesions may be overlooked. In addition, it is difficult to find out subtle changes from images, increasing the workload for doctors. To solve these problems, there is a need to develop a computer aided diagnosis (CAD) system that can quantitatively diagnose bone diseases. We propose a method for automatic extraction of phalange regions for the CAD system to diagnose these diseases. The proposed method can extract the phalanges with high accuracy by using the improved DeepLabv3+. In this paper, we apply the proposed method to 101 cases of CR images and mIoU of 0.949 was obtained.

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Abstract
1. INTRODUCTION
2. METHOD
3. EXPERIMENT
4. DISCUSSION AND CONCLUSION
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