Automated Lung Cancer Diagnosis Applying Butterworth Filtering, Bi-Level Feature Extraction, and Sparce Convolutional Neural Network to Luna 16 CT Images - Gharaibeh, Nasr Y.; De Fazio, Roberto; Al-Naami, Bassam; Al-Hinnawi, Abdel-Razzak; Visconti, Paolo (Journal of imaging, 2024)
Keywords: Accuracy; Algorithms; Artificial intelligence; Artificial neural networks; Automation; Butterworth smooth filter; Cancer therapies; Chaotic Crow Search Algorithm and Random Forest (CCSA-RF); Classification; Computed tomography; Deep learning; Diagnosis; Disease; Effectiveness; Feature extraction; Feature selection; Histology; Illnesses; Image analysis; Image degradation; Image filters; Image quality; Image reconstruction; Lung cancer; Machine learning; Medical imaging; Medical profession; Medical research; Multi-space Image Reconstruction (MIR) with Grey Level Co-occurrence Matrix (GLCM); Neural networks; Parameter sensitivity; Pathology; Prognosis; Search algorithms; Sparse Convolutional Neural Network (SCNN); Tumors; Sparse Convolutional Neural Network (SCNN); lung cancer; AI; Butterworth smooth filter; Multi-space Image Reconstruction (MIR) with Grey Level Co-occurrence Matrix (GLCM); Chaotic Crow Search Algorithm and Random Forest (CCSA-RF)