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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Main Authors: | , , , , , , |
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Format: | Book Chapter |
Language: | English |
Published: |
Springer
2023
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Subjects: | |
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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