Arslan, Ahmet KadirYasar, SeymaColak, Cemil2024-08-042024-08-042019https://doi.org/10.1109/idap.2019.8875896https://hdl.handle.net/11616/99049International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYThis study intends to develop an easy-to-use software using deep learning algorithms classification of benign and malignant lung nodules with high accuracy. In modelling phase Keras library and convolutional neural networks model are used. To construct user interface, shiny web framework is utilized. Experimental findings showed that the convolutional neural network model has high classification performance metrics of benign and malignant lung nodules on computed tomography images. As future research, it will be aimed to develop new software for medical images of other types of definitely diagnosed diseases by using appropriate deep learning models. The developed software is available at: biostatapps.inonu.edu.tr/AKSY/eninfo:eu-repo/semantics/closedAccessClassificationdeep learninglung cancershinycomputed tomographyConference Object10.1109/idap.2019.88758962-s2.0-85074897830N/AWOS:000591781100027N/A