Using Generative Adversarial Networks and Parameter Optimization of Convolutional Neural Networks for Lung Tumor Classification

Cancer is the leading cause of death worldwide. Lung cancer, especially, caused the most death in 2018 according to the World Health Organization. Early diagnosis and treatment can considerably reduce mortality. To provide an efficient diagnosis, deep learning is overtaking conventional machine lear...

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Bibliografische Detailangaben

Hauptverfasser:	Chun-Hui Lin, Cheng-Jian Lin, Yu-Chi Li, Shyh-Hau Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-01-01
Schriftenreihe:	Applied Sciences
Schlagworte:	lung cancer convolutional neural network generative adversarial network image augmentation parameter optimization
Online-Zugang:	https://www.mdpi.com/2076-3417/11/2/480
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