Start Date
11-8-2016
Description
This study uses a revolutionary image recognition method, deep learning, for the classification of potentially malignant pulmonary nodules. Deep learning is based on deep neural networks. We report results of our initial findings and compare performance of deep neural nets using a combination of different network topologies and optimization parameters. Classification accuracy, sensitivity and specificity of the network performance are assessed for each of the four topologies.
Recommended Citation
Gruetzemacher, Richard and Gupta, Ashish, "Using Deep Learning for Pulmonary Nodule Detection & Diagnosis" (2016). AMCIS 2016 Proceedings. 3.
https://aisel.aisnet.org/amcis2016/Intel/Presentations/3
Using Deep Learning for Pulmonary Nodule Detection & Diagnosis
This study uses a revolutionary image recognition method, deep learning, for the classification of potentially malignant pulmonary nodules. Deep learning is based on deep neural networks. We report results of our initial findings and compare performance of deep neural nets using a combination of different network topologies and optimization parameters. Classification accuracy, sensitivity and specificity of the network performance are assessed for each of the four topologies.