의료 영상 분석의 혁신: 합성곱 신경망(Convolutional Neural Network)의 응용과 발전 Innovations in Medical Image Analysis: Applications and Future Prospects of Convolutional Neural Networks

변해원

언어KOR
URLhttp://db.koreascholar.com/Article/Detail/444585

한국기계기술학회지 (韓國機械技術學會誌)

제27권 제2호 (2025.04)
pp.244-254

한국기계기술학회 (Korean Society of Mechanical Technology)

초록

This study examines the innovative applications and future prospects of Convolutional Neural Networks (CNN) in the field of medical image analysis. CNNs significantly enhance the accuracy and efficiency of medical image diagnostics through their powerful data processing and feature extraction capabilities. This review analyzes various CNN architectures and recent technological advancements, highlighting the importance of transfer learning and data augmentation techniques. It also discusses the potential for integrated multi-modality data analysis and real-time clinical applications, while emphasizing the need for ethical considerations and data security. This research underscores the potential of CNN technology to improve healthcare quality and contribute to patient health management.

키워드

합성곱 신경망 의료 이미지 분석 전이 학습 데이터 증강 다중 모달리티 데이터 분석 데이터 보안 Convolutional Neural Networks Medical Image Analysis Transfer Learning Data Augmentation Multi-modality Data Analysis Data Security

Abstract
1. 서 론
2. 기술적 배경
3. 문헌 리 뷰
4. 적용 분야
    4.1 질병 진단 및 예측
    4.2. 영상 분할 및 병변 탐지
    4.3. 정량적 분석과 치료 효과의 평가
    4.4. 의료 영상 통합 및 복합 분석
5. 모 델링 의 개발 절차
6. 논 의
References

저자

변해원(Dept. of Future Technology, Korea University of Technology and Education, South Korea) | Haewon Byeon Corresponding author

KOREASCHOLAR

의료 영상 분석의 혁신: 합성곱 신경망(Convolutional Neural Network)의 응용과 발전 Innovations in Medical Image Analysis: Applications and Future Prospects of Convolutional Neural Networks