Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications

Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications

Lung cancer is a life-threatening disease with the highest morbidity and mortality rates of any cancer worldwide. Clinical staging of lung cancer can significantly reduce the mortality rate, because effective treatment options strongly depend on the specific stage of cancer. Unfortunately, manual st...

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Bibliographic Details
Main Authors: May Phu Paing, Kazuhiko Hamamoto, Supan Tungjitkusolmun, Chuchart Pintavirooj
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
automatic diagnosis
backpropagation neural network
computed tomography
lung cancer
staging
Online Access:https://www.mdpi.com/2076-3417/9/11/2329

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