Comparison of deep learning convolutional neural network (CNN) architectures for CT lung cancer classification
Sarah Mohd Ashhar, Siti Salasiah Mokri, Ashrani Aizzuddin Abd. Rahni, Aqilah Baseri Huddin, Noraishikin Zulkarnain, Nor Aniza Azmi, Thanuja Mahaletchumy
2021International Journal of Advanced Technology and Engineering Exploration49 citationsDOIOpen Access PDF
Abstract
Lung cancer is the second most fatal cancer worldwide and ranks at the eighth place in the overall reported deaths in Malaysia Almost 90% of lung cancer patients are both active and passive smokers. As early symptoms of lung cancer are commonly unnoticeable, most of the diagnosis of these patients are found out when they are at stage 3 or 4. Therefore, early screening is highly anticipated. Lung cancer screening can be carried out through computed tomography (CT) scan, sputum cytology and biopsy
Topics & Concepts
Convolutional neural networkArtificial intelligenceDeep learningLung cancerComputer sciencePattern recognition (psychology)MedicinePathologyLung Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingCOVID-19 diagnosis using AI