A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods

• Published in: Diagnostics (Basel) Vol. 12; no. 12; p. 2926
• Main Authors: Attallah, Omneya, Aslan, Muhammet Fatih, Sabanci, Kadir
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 23.11.2022; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; Cancer; CNN; Colon cancer; Colorectal cancer; Data mining; Datasets; Deep learning; Diagnosis; DWT; FHWT; Health aspects; lung and colon cancer diagnosis; Lung cancer; Machine learning; Mammography; Medical research; Medicine, Experimental; Methods; Mortality; PCA; Tomography; Wavelet transforms; Egypt; DWT; deep learning; CNN; lung and colon cancer diagnosis; FHWT; PCA

Among the leading causes of mortality and morbidity in people are lung and colon cancers. They may develop concurrently in organs and negatively impact human life. If cancer is not diagnosed in its early stages, there is a great likelihood that it will spread to the two organs. The histopathological...