Best Performance Comparative Analysis of Architecture Deep Learning on CT Images for Lung Nodules Classification

Best Performance Comparative Analysis of Architecture Deep Learning on CT Images for Lung Nodules Classification

High sensitivity and accuracy result in detection and classification improved the chances of survival for lung cancer patients significantly. To accomplish this goal, Computer-Aided Detection (CAD) system using the CNN deep learning method has been developed. In this study, we propose a modified Res...

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Bibliographic Details
Main Authors: Sari, S., Soesanti, I., Setiawan, N.A.
Format: Conference or Workshop Item PeerReviewed
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Architectural Design
Architecture
Engineering
Online Access:https://repository.ugm.ac.id/281227/1/Best_Performance_Comparative_Analysis_of_Architecture_Deep_Learning_on_CT_Images_for_Lung_Nodules_Classification.pdf
https://repository.ugm.ac.id/281227/
https://ieeexplore.ieee.org/document/9655872
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Institution: Universitas Gadjah Mada
Language: English

Internet

https://repository.ugm.ac.id/281227/1/Best_Performance_Comparative_Analysis_of_Architecture_Deep_Learning_on_CT_Images_for_Lung_Nodules_Classification.pdf
https://repository.ugm.ac.id/281227/
https://ieeexplore.ieee.org/document/9655872

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