Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.

Abstract: This research study explores the application of pre-trained Convolutional Neural Network (CNN) architectures for the classification of lung and colon cancer using histopathological images.

Search for other works by this author on: ...

Abstract: Neural Architecture Search (NAS), called Parametric NAS, to address the challenges in automatically designing efficient neural network architectures for Colon Cancer classification tasks. By ...