Detection of Early Pneumonia on Individual CT Scans with Dilated Convolutions
IntelITSIS 2021, pp. 214-227
Editorial summary
Dilated convolutions combine information from different image scales to classify individual chest CT scans for pneumonia. The modified network is evaluated for validation accuracy and computational requirements. The paper reports an image-classification experiment rather than a deployed screening service.
Bibliographic reference
Use the publisher’s record for the citation format required by your journal or organisation.
Iurii Krak, Olexander Barmak, Pavlo Radiuk. "Detection of Early Pneumonia on Individual CT Scans with Dilated Convolutions". IntelITSIS 2021, pp. 214-227, 2021.
Test a method against your business task.
Describe the decision your system needs to support and the data you have. We assess whether a method fits, define a prototype and agree how to measure its quality, response time and operating cost.