Deep Learning Publication Navigator - subtopic: pulmonary


Year TitleAuthor
2017   Pulmonary Nodule Detection Based on CT Images Using Convolution Neural Network  XY Jin, YC Zhang, QL Jin
2017   Nodular-Deep: Classification of Pulmonary Nodules using Deep Neural Network  Q Abbas
2017   A Deep Learning Model of Automatic Detection of Pulmonary Nodules Based on Convolution Neural Networks (CNNs)  X Xiao, Y Qiang, J Zhao, P Zhao
2017   Pulmonary nodule classification with deep residual networks  A Nibali, Z He, D Wollersheim
2017   Automatic detection of solitary pulmonary nodules using swarm intelligence optimized neural networks on CT images  EE Nithila, SS Kumar
2017   Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning  Q Dou, H Chen, Y Jin, H Lin, J Qin, PA Heng
2017   Prediction of multi-drug resistant TB from CT pulmonary Images based on deep learning techniques  X Gao, Y Qian 
2017   Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images  P Nardelli, D Jimenez
2017   Pulmonary nodule diagnosis using dual‐modal supervised autoencoder based on extreme learning machine  Y Qiang, L Ge, X Zhao, X Zhang, X Tang
2017   Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks  P Lakhani, B Sundaram
2016   Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images  W Li, P Cao, D Zhao, J Wang
2016   Towards automatic pulmonary nodule management in lung cancer screening with deep learning  F Ciompi, K Chung, SJ van Riel, AAA Setio, PK Gerke
2016   Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans  JZ Cheng, D Ni, YH Chou, J Qin, CM Tiu, YC Chang
2016   Classification of Pulmonary Nodules on Computed Tomography Scans. Evaluation of the Effectiveness of Application of Textural Features Extracted Using Wavelet …  M Sergeeva, I Ryabchikov, M Glaznev, N Gusarova
2016   Pulmonary Monitoring Using Smartphones  EC Larson, E Saba, S Kaiser, M Goel, SN Patel
2016   Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules  S Chen, D Ni, J Qin, B Lei, T Wang, JZ Cheng
2016   Deep feature learning for pulmonary nodule classification in a lung CT  BC Kim, YS Sung, HI Suk
2016   Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection  Q Dou, H Chen, L Yu, J Qin, PA Heng
2015   Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box  F Ciompi, B de Hoop, SJ van Riel, K Chung
2015   Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification  H Liu, CM Zhang, ZY Su, K Wang, K Deng