산업 근로자의 건강을 위한 EfficientNet B7을 활용한 뇌출혈 예측 모델 EfficientNet B7 in Brain Hemorrhage Prediction

변해원

언어KOR
URLhttp://db.koreascholar.com/Article/Detail/444574

한국기계기술학회지 (韓國機械技術學會誌)

제27권 제2호 (2025.04)
pp.181-188

한국기계기술학회 (Korean Society of Mechanical Technology)

초록

This study evaluates the accuracy and reliability of brain hemorrhage prediction using the EfficientNet B7 model. The model achieved an accuracy of 94.2% and a recall of 94.0%, demonstrating high sensitivity that enhances its clinical applicability. The model achieved a loss of 0.40 during training and validation, showing stable convergence. These results expand the potential for AI in medical image analysis, ultimately contributing to improved diagnostic accuracy for healthcare professionals. Future research will verify the model's versatility using diverse datasets and increase interpretability for better clinical integration.

키워드

EfficientNet B7 모델 뇌출혈 예측 정확도 재현율 의료 이미지 분석 진단 정확도 EfficientNet B7 Model Brain Hemorrhage Prediction Accuracy Recall Medical Image Analysis Diagnostic Accuracy

Abstract
1. 서 론
2. 관련 연구
3. 방 법
    3.1 데이터 획득 및 전처리
    3.2 모 델 아키텍처 설계
    3.3 학습 및 검증
    3.4 비교 분석
4. 결 과
    4.1 모 델 성능 평가
    4.2 ROC 곡선 분석과 모 델의 손실율
    4.3 혼동 행렬 분석
5. 논 의
6. 결 론
References

저자

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

KOREASCHOLAR

산업 근로자의 건강을 위한 EfficientNet B7을 활용한 뇌출혈 예측 모델 EfficientNet B7 in Brain Hemorrhage Prediction