Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis
暂无分享,去创建一个
Lubomir M. Hadjiiski | Heang-Ping Chan | Mark A. Helvie | Ravi K. Samala | Kenny H. Cha | Caleb Richter | Caleb D. Richter | H. Chan | M. Helvie
[1] Hui Li,et al. Digital mammographic tumor classification using transfer learning from deep convolutional neural networks , 2016, Journal of medical imaging.
[2] Gustavo Carneiro,et al. A deep learning approach for the analysis of masses in mammograms with minimal user intervention , 2017, Medical Image Anal..
[3] Chrisantha Fernando,et al. PathNet: Evolution Channels Gradient Descent in Super Neural Networks , 2017, ArXiv.
[4] Nico Karssemeijer,et al. Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation , 2017, MICCAI.
[5] Samuel H. Hawkins,et al. Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma , 2016, Tomography.
[6] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[7] Gregory J. Wolff,et al. Optimal Brain Surgeon and general network pruning , 1993, IEEE International Conference on Neural Networks.
[8] Lubomir M. Hadjiiski,et al. Bladder cancer treatment response assessment using deep learning in CT with transfer learning , 2017, Medical Imaging.
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] Carmen C. Y. Poon,et al. Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain , 2017, IEEE Journal of Biomedical and Health Informatics.
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] N. Karssemeijer,et al. Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network , 2017, Medical physics.
[13] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Lubomir M. Hadjiiski,et al. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. , 2016, Medical physics.
[15] Phillip M. Cheng,et al. Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images , 2017, Journal of Digital Imaging.
[16] Lubomir M. Hadjiiski,et al. Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms , 2017, Physics in medicine and biology.
[17] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[18] Xiao Han,et al. MR‐based synthetic CT generation using a deep convolutional neural network method , 2017, Medical physics.
[19] Daoqiang Zhang,et al. Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease , 2017, Neuroinformatics.
[20] Nima Tajbakhsh,et al. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? , 2016, IEEE Transactions on Medical Imaging.