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홈 > 한국방사선학회 > 한국방사선학회 논문지
논문 표지

Evaluation of Classification Performance of Inception V3 Algorithm for Chest X-ray Images of Patients with Cardiomegaly

원문보기 원문저장 인용정보복사 구매 4,000원

국문 초록

심장비대증은 흉부 X선 영상에서 흔히 보이는 질병 중 하나이지만 조기에 발견을 하지 못하면 심각한 합병증을 유발할 수도 있다. 이러한 점을 고려하여 최근에는 여러 과학기술 분야의 발전으로 인공지능을 이용한 딥러닝 알고리즘을 의료에 접목시키는 영상 분석 연구들이 많이 진행되고 있다. 본 논문에서는 Inception V3 딥러닝 모델을 흉부 X선 영상을 이용하...

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영문 초록

Cardiomegaly is one of the most common diseases seen on chest X-rays, but if it is not detected early, it can cause serious complications. In view of this, in recent years, many researches on image an...

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목차

Ⅰ. INTRODUCTION
Ⅱ. MATERIAL AND METHODS
Ⅲ. RESULT
Ⅳ. CONCLUSION

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