Staying ahead of
Symptoms

코어라인소프트는
증상보다 앞서 질병을 발견합니다.

Performance Evaluation of Automatic Segmentation based on Deep Learning and Atlas according to CT Image Acquisition Conditions (CT 영상획득 조건에 따른 딥 러닝과 아틀라스 기반의 자동분할 성능 평가)

Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT

Pulse versus non-pulse corticosteroid therapy in patients with acute exacerbation of idiopathic pulmonary fibrosis

Design and Rationale of the HANSE Study: A Holistic German Lung Cancer Screening Trial Using Low-Dose Computed Tomography

Clustering analysis of HRCT parameters measured using a texture-based automated system: relationship with clinical outcomes of IPF

Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults

폐기종 및 간질성 폐질환: 인공지능 소프트웨어 사용 경험 (Using Artificial Intelligence Software for Diagnosing Emphysema and Interstitial Lung Disease)

영상의학에서 폐영상 판독과 자료체계: 강점, 단점, 그리고 개선 (Lung Imaging Reporting and Data System (Lung-RADS) in Radiology: Strengths, Weaknesses and Improvement)