A machine learning approach for the feature extraction of pulmonary nodules

[1]  Dennis Wollersheim,et al.  Pulmonary nodule classification with deep residual networks , 2017, International Journal of Computer Assisted Radiology and Surgery.

[2]  Zhenwei Zhang,et al.  Radiological images and machine learning: trends, perspectives, and prospects , 2019, Comput. Biol. Medicine.

[3]  Antonio Criminisi Machine learning for medical images analysis , 2016, Medical Image Anal..

[4]  Robin Coope,et al.  Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis. , 2019, Trends in cancer.

[5]  Arvid Lundervold,et al.  An overview of deep learning in medical imaging focusing on MRI , 2018, Zeitschrift fur medizinische Physik.

[6]  François Chollet,et al.  Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Hüseyin Polat,et al.  Classification of Pulmonary CT Images by Using Hybrid 3D-Deep Convolutional Neural Network Architecture , 2019, Applied Sciences.

[8]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[9]  Jianhua Li,et al.  Agile convolutional neural network for pulmonary nodule classification using CT images , 2018, International Journal of Computer Assisted Radiology and Surgery.

[10]  D. Shen,et al.  Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans , 2016, Scientific Reports.

[11]  Nima Tajbakhsh,et al.  Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs , 2017, Pattern Recognit..

[12]  Alex Lallement,et al.  Survey on deep learning for radiotherapy , 2018, Comput. Biol. Medicine.

[13]  Hengyong Yu,et al.  Deep Learning for the Classification of Lung Nodules , 2016, ArXiv.

[14]  Dinggang Shen,et al.  Machine Learning in Medical Imaging , 2012, Lecture Notes in Computer Science.

[15]  Qingmao Hu,et al.  Lung nodule classification using deep feature fusion in chest radiography , 2017, Comput. Medical Imaging Graph..

[16]  Wei Shen,et al.  Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification , 2017, Pattern Recognit..

[17]  Alanna Vial,et al.  Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging. , 2019, Journal of medical imaging and radiation sciences.

[18]  Berkman Sahiner,et al.  3D convolutional neural network for automatic detection of lung nodules in chest CT , 2017, Medical Imaging.

[19]  Wei Li,et al.  Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images , 2016, Comput. Math. Methods Medicine.

[20]  Bo Chen,et al.  MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.

[21]  Li Fei-Fei,et al.  ImageNet: A large-scale hierarchical image database , 2009, CVPR.

[22]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Jan Kybic,et al.  The Lung TIME: annotated lung nodule dataset and nodule detection framework , 2009, Medical Imaging.

[24]  Charlene Liew The future of radiology augmented with Artificial Intelligence: A strategy for success. , 2018, European journal of radiology.

[25]  Nikhil Ketkar,et al.  Deep Learning with Python , 2017 .

[26]  Bram van Ginneken,et al.  Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks , 2016, IEEE Transactions on Medical Imaging.

[27]  Guixia Kang,et al.  3D multi-view convolutional neural networks for lung nodule classification , 2017, PloS one.

[28]  Dong Ni,et al.  Deep Learning in Medical Ultrasound Analysis: A Review , 2019, Engineering.

[29]  Mohammed Bennamoun,et al.  A Guide to Convolutional Neural Networks for Computer Vision , 2018, A Guide to Convolutional Neural Networks for Computer Vision.

[30]  Raunak Dey,et al.  Diagnostic classification of lung nodules using 3D neural networks , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

[31]  Bram van Ginneken,et al.  A survey on deep learning in medical image analysis , 2017, Medical Image Anal..