Deep Transfer Learning-Based Musculoskeletal Abnormality Detection
暂无分享,去创建一个
[1] A. Ng,et al. MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs. , 2017 .
[2] Vijaypal Singh Dhaka,et al. Classification of Human Bones Using Deep Convolutional Neural Network , 2019 .
[3] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Mark D. Ohman,et al. Improving plankton image classification using context metadata , 2019, Limnology and Oceanography: Methods.
[5] H.P. Ng,et al. Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm , 2006, 2006 IEEE Southwest Symposium on Image Analysis and Interpretation.
[6] H. Sharma,et al. Reducing Diagnostic Errors in Musculoskeletal Trauma by Reviewing Non-Admission Orthopaedic Referrals in the Next-Day Trauma Meeting , 2007 .
[7] Mahesh Jangid,et al. Improving the Model Performance of Deep Convolutional Neural Network in MURA Dataset , 2019, Smart Systems and IoT: Innovations in Computing.
[8] A. Woolf,et al. Burden of major musculoskeletal conditions. , 2003, Bulletin of the World Health Organization.
[9] Antonio Criminisi,et al. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning , 2012, Found. Trends Comput. Graph. Vis..
[10] Ronald M. Summers,et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.
[11] Hoo-Chang Hoo-Chang Shin Shin,et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, Ieee Transactions on Medical Imaging.
[12] D. Rempel,et al. Effectiveness of workplace interventions in the prevention of upper extremity musculoskeletal disorders and symptoms: an update of the evidence , 2015, Occupational and Environmental Medicine.
[13] Elisa Ricci,et al. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification , 2007, IEEE Transactions on Medical Imaging.
[14] Chi-Hua Chen,et al. Hyperparameter Tuning Deep Learning for Diabetic Retinopathy Fundus Image Classification , 2020, IEEE Access.
[15] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[16] M. McHugh. Interrater reliability: the kappa statistic , 2012, Biochemia medica.
[17] M. Habib,et al. Musculoskeletal symptoms (MSS) and their associations with ergonomic physical risk factors of the women engaging in regular rural household activities: A picture from a rural village in Bangladesh. , 2015, Work.
[18] Joseph Bullock,et al. XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets , 2018, Medical Imaging.
[19] R. Gosselin,et al. Surgical Burden of Musculoskeletal Conditions in Low- and Middle-Income Countries , 2018, World Journal of Surgery.