The classification of lung cancer: a DenseNet feature-based transfer learning evaluation

In the present study, a class of deep learning approaches is used to clas- sify non-small-cell lung cancers. A total of 400 computed tomography (CT) images of lung cancer that are demarcated into normal, large cell carcinoma, adenocarci- noma and squamous cell carcinoma are split into the 70:15:15 r...

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Bibliographic Details
Main Authors: Arzmi, Mohd Hafiz, P.P. Abdul Majeed, Anwar, Musa, Rabiu Muazu, Mohd Razman, Mohd Azraai, Gan, Hong-Seng, Mohd Khairuddin, Ismail, Ab. Nasir, Ahmad Fakhri
Format: Book Chapter
Language:English
Published: Springer 2023
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Online Access:http://irep.iium.edu.my/103898/2/103898_The%20classification%20of%20lung%20cancer%20a%20densenet%20feature-based.pdf
http://irep.iium.edu.my/103898/
https://link.springer.com/chapter/10.1007/978-981-19-8937-7_4
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