Deep learning approach for evaluating knee MR images: achieving high diagnostic performance for cartilage lesion detection

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - pubs.rsna.org
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
被引用次数：263 相关文章

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - pubs.rsna.org
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
[HTML] nih.gov

[HTML][HTML] Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - ncbi.nlm.nih.gov
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
[HTML] europepmc.org

[HTML][HTML] Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - europepmc.org
Purpose: To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …

[引用][C] Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - cir.nii.ac.jp
Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic
Performance for Cartilage Lesion Detection | CiNii Research CiNii 国立情報学研究所 学術情報 …

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - …, 2018 - pubmed.ncbi.nlm.nih.gov
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - europepmc.org
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
[HTML] nih.gov

[HTML][HTML] Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - ncbi.nlm.nih.gov
Purpose: To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …