Segmenting nodules of lung tomography image with level set algorithm and neural network

• Main Authors: Chong, Soon Yee, Tan, Min Keng, Yeo, Kiam Beng, Mohd Yusof Ibrahim, Hao, Xiaoxi, Teo, Kenneth Tze Kin
• Format: Proceedings
• Language: English; English
• Published: IEEE Inc. 2019
• Subjects: QA1-939 Mathematics; RC705-779 Diseases of the respiratory system
• Online Access: https://eprints.ums.edu.my/id/eprint/31751/1/Segmenting%20nodules%20of%20lung%20tomography%20image%20with%20level%20set%20algorithm%20and%20neural%20network.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/31751/2/Segmenting%20nodules%20of%20lung%20tomography%20image%20with%20level%20set%20algorithm%20and%20neural%20network.pdf; https://eprints.ums.edu.my/id/eprint/31751/; https://ieeexplore.ieee.org/document/9067987

Lung cancer is the main cause of death in the world. It is diagnosed generally by analysing a tissue cluster formation called 'nodule' inside the lung. Computer aided diagnosis (CAD) plays an important role in medical field which helps radiologists to detect and localise lung nodule. The a...