Health of Things Algorithms for Malignancy Level Classification of Lung Nodules

Health of Things Algorithms for Malignancy Level Classification of Lung Nodules

Lung cancer is one of the leading causes of death worldwide. Several computer-aided diagnosis systems have been developed to help reduce lung cancer mortality rates. This paper presents a novel structural co-occurrence matrix (SCM)-based approach to classify nodules into malignant or benign nodules...

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Bibliographic Details
Main Authors: Murillo B. Rodrigues, Raul Victor M. Da Nobrega, Shara Shami A. Alves, Pedro Pedrosa Reboucas Filho, Joao Batista F. Duarte, Arun K. Sangaiah, Victor Hugo C. De Albuquerque
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Computer-aided diagnosis
pulmonary nodules
lung cancer
textural features
structural co-occurrence matrix
malignancy classification
Online Access:https://ieeexplore.ieee.org/document/8322412/

Internet

https://ieeexplore.ieee.org/document/8322412/

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