AI 의료영상 분석의 개요 및 연구 현황에 대한 고찰

• 영문명: Artificial Intelligence Based Medical Imaging: An Overview
• 발행기관: 대한방사선과학회(구 대한방사선기술학회)
• 저자명: 홍준용(Hong Jun-Yong) 박상현(Park Sang Hyun) 정영진(Jung Young-Jin)
• 간행물 정보: 『방사선기술과학』방사선기술과학 제43권 제3호, 195~208쪽, 전체 14쪽
• 주제분류: 의약학 > 방사선과학
• 파일형태: PDF
• 발행일자: 2020.06.30

영문 초록

Artificial intelligence(AI) is a field of computer science that is defined as allowing computers to imitate human intellectual behavior, even though AI s performance is to imitate humans. It is grafted across software-based fields with the advantages of high accuracy and speed of processing that surpasses humans. Indeed, the AI based technology has become a key technology in the medical field that will lead the development of medical image analysis. Therefore, this article introduces and discusses the concept of deep learning-based medical imaging analysis using the principle of algorithms for convolutional neural network(CNN) and back propagation. The research cases application of the AI based medical imaging analysis is used to classify the various disease(such as chest disease, coronary artery disease, and cerebrovascular disease), and the performance estimation comparing between AI based medical imaging classifier and human experts.

목차

Ⅰ. 서 론

Ⅱ. AI 의료영상 분석의 개요

Ⅲ. 딥 러닝 기반 의료영상 분석의 원리

Ⅳ. 연구 동향

Ⅴ. 고 찰

Ⅵ. 결 론

REFERENCES

키워드

인공지능 의료영상 딥 러닝 인공신경망 Artificial Intelligence Medical Imaging Deep Learning Artificial Neural Network