Identification of Benign and Malignant Lung Nodules in CT Images Based on Ensemble Learning Method

[1]  Damodar Reddy Edla,et al.  Lung Nodule Classification on Computed Tomography Images Using Deep Learning , 2020, Wireless Personal Communications.

[2]  Mohamed Roushdy,et al.  Multi-view Convolutional Neural Network for lung nodule false positive reduction , 2020, Expert Syst. Appl..

[3]  D. Edla,et al.  Lung Nodule Classification on Computed Tomography Images Using Deep Learning , 2020, Wireless Personal Communications.

[4]  Jun Gao,et al.  Lung Nodule Detection using Convolutional Neural Networks with Transfer Learning on CT Images. , 2020, Combinatorial chemistry & high throughput screening.

[5]  Chen Cheng,et al.  Ensemble learning approach based on stacking for unmanned surface vehicle's dynamics , 2020 .

[6]  Xiaojun Bi,et al.  Multi-Level Cross Residual Network for Lung Nodule Classification , 2020, Sensors.

[7]  J. Goo,et al.  CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists , 2020, European Radiology.

[8]  Anup K. Sadhu,et al.  Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review , 2020, Journal of Digital Imaging.

[9]  Yahui Zhang,et al.  Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images , 2020, Knowl. Based Syst..

[10]  Hong Liu,et al.  A Two-Stage Convolutional Neural Networks for Lung Nodule Detection , 2020, IEEE Journal of Biomedical and Health Informatics.

[11]  Berkman Sahiner,et al.  3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT , 2019, IEEE Journal of Biomedical and Health Informatics.

[12]  Weiguang Sheng,et al.  Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network , 2019, Journal of Digital Imaging.

[13]  Zhe Li,et al.  Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[14]  Yongdong Zhang,et al.  Automated pulmonary nodule detection in CT images using deep convolutional neural networks , 2019, Pattern Recognit..

[15]  Ali Farhadi,et al.  YOLOv3: An Incremental Improvement , 2018, ArXiv.

[16]  Iasonas Kokkinos,et al.  DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Qingzeng Song,et al.  Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images , 2017, Journal of healthcare engineering.

[18]  Aoxue Li,et al.  Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks , 2017, MICCAI.

[19]  Kaiming He,et al.  Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

[21]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[22]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Jing Wang,et al.  Establishing Assistant Diagnosis Models of Solitary Pulmonary Nodules Based on Intelligent Algorithms , 2015, Cellular Physiology and Biochemistry.

[24]  Jing Zhang,et al.  Performance comparison of artificial neural network and logistic regression model for differentiating lung nodules on CT scans , 2012, Expert Syst. Appl..

[25]  Jacob D. Furst,et al.  Probabilistic lung nodule classification with belief decision trees , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[26]  澤頭 毅,et al.  (5)33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society参加報告(国際会議案内・報告) , 2011 .