지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2023.10
- 수록면
- 1,498 - 1,501 (4page)
이용수
초록· 키워드
오류제보하기
In Japan, it is serious problems such as increasing nursing care of handicapped people requiring and the aging of caregivers which is caused in a super-aging society. One of the main causes of being classified as persons requiring nursing care include joint diseases such as rheumatoid arthritis and bone fractures due to osteoporosis. Early detection and treatment of these diseases are considered important. Rheumatoid arthritis and osteoporosis are generally diagnosed by simple X-ray examination. However, there are problems with radiographic diagnosis by physicians, such as lack of objectivity and reproducibility of diagnosis, and increased workload on the radiologists. To solve these problems, a
Computer-Aided Diagnosis (CAD) system is being developed. Because the CAD system may use the results of quantitative computer analysis, it is expected to improve the reproducibility and accuracy of diagnosis and reduce the burden on physicians. Therefore, this paper proposes a segmentation method of phalanx region from CR images to develop a CAD system. The proposed method is based on HRNet + JPU + U-Net. The proposed method was applied to 101 cases of X-ray images, and mIoU=0.897 was obtained. Experiments for segmentation from images confirmed the usefulness of the proposed method by improving the extraction accuracy of the boundary of the phalanx region.
Computer-Aided Diagnosis (CAD) system is being developed. Because the CAD system may use the results of quantitative computer analysis, it is expected to improve the reproducibility and accuracy of diagnosis and reduce the burden on physicians. Therefore, this paper proposes a segmentation method of phalanx region from CR images to develop a CAD system. The proposed method is based on HRNet + JPU + U-Net. The proposed method was applied to 101 cases of X-ray images, and mIoU=0.897 was obtained. Experiments for segmentation from images confirmed the usefulness of the proposed method by improving the extraction accuracy of the boundary of the phalanx region.
목차
Abstract
1. INTRODUCTION
2. METHODS
3. EXPERIMENT AND RESULTS
4. DISCUSSION
5. CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Detection of Phalange Region Based on U-Net
제어로봇시스템학회 국제학술대회 논문집
2018 .10
-
Automatic Segmentation of Finger Bone Regions from CR Images Using Improved DeepLabv3+
제어로봇시스템학회 국제학술대회 논문집
2021 .10
-
Automatic Segmentation of Phalanges Regions on MR Images Based on MSGVF Snakes
제어로봇시스템학회 국제학술대회 논문집
2015 .10
-
Registration of Phalange Region from CR Images Based on Genetic Algorithm
제어로봇시스템학회 국제학술대회 논문집
2018 .10
-
Classification of Osteoporosis from Phalanges CR Images Based on DCNN
제어로봇시스템학회 국제학술대회 논문집
2017 .10
-
HRNet을 활용한 설치류의 얼굴 랜드마크 탐지
한국정보과학회 학술발표논문집
2024 .06
-
Extraction of Cervical Lymph Nodes using Improved U-Net++
제어로봇시스템학회 국제학술대회 논문집
2022 .11
-
Effective Diagnostic Image Segmentation with Pyramid Style Support Vector Machine for Colorectal Endoscopic Images
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2015 .06
-
HRNet 기반 얼굴 파싱 및 감정 인식 동시 수행
대한전자공학회 학술대회
2024 .06
-
Adaptive Image Segmentation Based on Histogram Transition Zone Analysis
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2016 .12
-
영상 분할을 이용한 영상 전송 시스템에 대한 연구
반도체디스플레이기술학회지
2016 .01
-
Temporal Difference-based Weighted Instance Segmentation Applied on Consecutive Images for Food Recognition
제어로봇시스템학회 논문지
2023 .12
-
Enhancement of Bone Metastasis from CT Images Based on Salient Region Feature Registration
제어로봇시스템학회 국제학술대회 논문집
2018 .10
-
Automatic Segmentation Method of Phalange Regions Based on Residual U-Net and MSGVF Snakes
제어로봇시스템학회 국제학술대회 논문집
2019 .10
-
A cux on Transformer-based U-NET models for Medical Image Segmentation
대한전자공학회 학술대회
2024 .06
-
U-Net을 이용한 이미지 내 부식 시편 분할에 관한 연구
한국표면공학회지
2024 .12
-
RDIU-Net: Lightweight Medical Image Segmentation Network
제어로봇시스템학회 국제학술대회 논문집
2023 .10
-
Automatic Segmentation of Cell Candidate Regions in Microscopy Images Based on an Optimization Algorithm
제어로봇시스템학회 국제학술대회 논문집
2016 .10
-
Simulation of Filter Application for Segmentation of Medical Images
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2018 .06
-
Bone Area Segmentation in X-Ray images using an Adaptable U-Net
한국정보과학회 학술발표논문집
2018 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-24-02-088265994