Meniscal lesion detection and characterization in adult knee MRI: a deep learning model approach with external validation

B Rizk, H Brat, P Zille, R Guillin, C Pouchy, C Adam… - Physica Medica, 2021 - Elsevier
Purpose Evaluation of a deep learning approach for the detection of meniscal tears and their
characterization (presence/absence of migrated meniscal fragment). Methods A large …
被引用次数：58 相关文章

Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation.

B Rizk, H Brat, P Zille, R Guillin, C Pouchy… - Physica Medica: PM …, 2021 - europepmc.org
Purpose Evaluation of a deep learning approach for the detection of meniscal tears and their
characterization (presence/absence of migrated meniscal fragment). Methods A large …

Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation

B Rizk, H Brat, P Zille, R Guillin… - … medica: PM: an …, 2021 - pubmed.ncbi.nlm.nih.gov
Purpose Evaluation of a deep learning approach for the detection of meniscal tears and their
characterization (presence/absence of migrated meniscal fragment). Methods A large …

[引用][C] Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation

B Rizk, H Brat, P Zille, R Guillin, C Pouchy, C Adam… - Physica Medica, 2021 - cir.nii.ac.jp
Meniscal lesion detection and characterization in adult knee MRI: A deep learning model
approach with external validation | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation

B Rizk, H Brat, P Zille, R Guillin… - … European Journal of …, 2021 - physicamedica.com
Purpose Evaluation of a deep learning approach for the detection of meniscal tears and their
characterization (presence/absence of migrated meniscal fragment). Methods A large …