Microsoft

Multi-Label Classification for Colon Cancer Using Histopathological Images

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.
IEEE

Optimized Deep Learning Approaches for Lung and Colon Cancer Classification using Histopathological Images

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.
Cancer Research

Abstract B034: Sex and Racial Disparities in Time to Treatment for Early-Onset Colorectal Cancer Across a Four-Level Rurality Classification in the United States

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IEEE

Parametric NAS: Revolutionizing Neural Architecture Search for Lung Colon Cancer Classification

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 ...