Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning

Author:

Apostolopoulos Ioannis D.1,Apostolopoulos Dimitris J.2,Panayiotakis George S.1

Affiliation:

1. University of Patras,School of Medicine,Department of Medical Physics,Patras,Greece

2. University Hospital of Patras,Patras,Greece

Publisher

IEEE

Reference30 articles.

1. Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT

2. Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset;hancock,2017

3. Self-normalizing neural networks;klambauer;Advances in neural information processing systems,2017

4. Stochastic Gradient Learning in Neural Networks;bottou,1991

5. Deep learning with elastic averaging SGD;zhang;Advances in neural information processing systems,2015

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