About this document
Quantum Deep Learning for CRC Detection by stenkpas is a document available to read on EtoBox.
The document presents QDeepColonNet, a novel hybrid deep learning and quantum machine learning system designed for the classification of colorectal cancer (CRC), achieving a classification accuracy of 98.92% on the EBHI dataset. This system combines DenseNet with attention-driven feature extraction and a quantum-based classifier to enhance diagnostic efficiency and accuracy, addressing the limitations of traditional diagnostic methods. The research highlights the potential of integrating quantum computing w
- Author
- stenkpas
- Language
- EN