Metabolic Imaging Based Sub-Classification of Lung Cancer

Lung cancer is one of the deadliest cancer types whose 84% is non-small cell lung cancer (NSCLC). In this study, deep learning-based classification methods were investigated comprehensively to differentiate two subtypes of NSCLC, namely adenocarcinoma (ADC) and squamous cell carcinoma (SqCC). The st...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.218470-218476
Hauptverfasser:	Bicakci, Mustafa, Ayyildiz, Oguzhan, Aydin, Zafer, Basturk, Alper, Karacavus, Seyhan, Yilmaz, Bulent
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cancer Classification Convolutional neural networks Deep learning Diagnostic systems Domains Image classification Image segmentation Imaging Lung cancer Machine learning Medical imaging Metabolism Multilayer perceptrons non-small cell lung cancer PET imaging Positron emission Positron emission tomography Random walk Regularization Regularization methods subtype classification Tomography Tumors
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