Small Data Deep Learning for Lung Cancer Detection in CT

Author:

Suzuki Kenji1

Affiliation:

1. Biomedical Artificial Intelligence Research Unit (BMAI), Institute of Innovative Research Tokyo Institute of Technology,Tokyo,Japan

Funder

JST-Mirai Program

Publisher

IEEE

Reference33 articles.

1. Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs

2. Gradient-based learning applied to document recognition

3. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

4. Fast connected-component labeling

5. Deep learning;lecun;Nature,2015

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