Breast Cancer Detection with Quanvolutional Neural Networks
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Authors
Matondo-Mvula, Nadine
Dr. Elleithy, Khaled (Advisor)
Issue Date
2025-04-04
Type
Other
Language
en_US
Keywords
Quantum neural networks , Breast cancer detection , Quanvolutional feature extraction
Alternative Title
Abstract
The primary contribution of this research is the implementation of quantum convolutional layers as feature extractors in a neural network model, aimed at capturing robust features from ultrasound breast images for breast cancer detection. Our proposed method utilizes angle encoding for data mapping and employs quantum circuits with a fixed sequence of parameterized gates, incorporating quantum convolutional layers with a 3 × 3 kernel size.
Description
UB Rise 2025
Department of Electrical and Computer Engineering