光金正,梁鉴如,刘义生.基于改进EfficientNet的植物图像分类算法[J].传感器与微系统,2022(08).

彭玉青,刘宪姿,袁宏涛,武仪美.用于场景识别的多尺度注意力网络[J].传感器与微系统,2021(07).

汤志杰,严涛.磁共振成像检查对膝关节损伤的诊断效果[J].临床医学研究与实践,2021(15).

Shakhovska Nataliya,Pukach Pavlo.Comparative Analysis of Backbone Networks for Deep Knee MRI Classification Models[J].Big Data and Cognitive Computing,2022.

Dai Yin,Gao Yifan,Liu Fayu.TransMed: Transformers Advance Multi-Modal Medical Image Classification[J].Diagnostics,2021.

Zhang Lingyan,Li Mifang,Zhou Yujia,Lu Guangming,Zhou Quan.Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.[J].Journal of magnetic resonance imaging : JMRI,2020.

Nicholas Bien,Pranav Rajpurkar,Robyn L Ball,Jeremy Irvin,Allison Park,Erik Jones,Michael Bereket,Bhavik N Patel,Kristen W Yeom,Katie Shpanskaya,Safwan Halabi,Evan Zucker,Gary Fanton,Derek F Amanatullah,Christopher F Beaulieu,Geoffrey M Riley,Russell J Stewart,Francis G Blankenberg,David B Larson,Ricky H Jones,Curtis P Langlotz,Andrew Y Ng,Matthew P Lungren.Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.[J].PLoS Medicine,2018.

Alex Krizhevsky,Ilya Sutskever,Geoffrey E. Hinton.ImageNet classification with deep convolutional neural networks[J].Communications of the ACM,2017.

Carmen E. Quatman,Carolyn M. Hettrich,Laura C. Schmitt,Kurt P. Spindler.The Clinical Utility and Diagnostic Performance of Magnetic Resonance Imaging for Identification of Early and Advanced Knee Osteoarthritis[J].The American Journal of Sports Medicine,2011.