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아주대학교 의학문헌정보센터
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Browsing "Radiology" by Keyword : Deep Learning
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Showing results 1 to 12 of 12
Pub Year
Title
AJOU Author(s)
2022
A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation
김재근
,
이제희
,
허지미
2019
Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT
하은주
2020
Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training
하은주
2023
Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels
황지선
2023
Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI
이다현
2023
Deep Learning-Based Automatic Detection and Grading of Motion-Related Artifacts on Gadoxetic Acid-Enhanced Liver MRI
허지미
2023
Deep learning-based image reconstruction improves radiologic evaluation of pituitary axis and cavernous sinus invasion in pituitary adenoma
이다현
2024
Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study
이다현
2024
Deep learning–radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients
김철호
,
노진
,
유슬기
,
허재성
2020
Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
허지미
2022
Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI
허수빈
2022
Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study
김태희
1
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아주대학교 의학문헌정보센터