Using Deep Learning for Pulmonary Nodule Detection & Diagnosis

Gruetzemacher, Ross and Gupta, Ashish (2016) Using Deep Learning for Pulmonary Nodule Detection & Diagnosis. Americas Conference on Information Systems (AMCIS).

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Abstract

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.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General)
Divisions: Faculty of Industrial Engineering and Informatics > Information System
Depositing User: staff repository 1
Date Deposited: 31 Jul 2018 15:51
Last Modified: 31 Jul 2018 15:51
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/1433

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