dermamnist

Based on our paper "A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification" published in Scientific Reports (Nature)

Hybrid Quantum-Classical CNN benchmarking for medical image classification — PhD DNN Course, Vilnius University

8-qubit Quantum Convolutional Neural Network (QCNN) for binary skin lesion classification on DermaMNIST, implemented in PennyLane with autoencoder-based dimensionality reduction, Angle-compact quantum embedding, and SU(4) convolutional ansatz. Achieves 60% test accuracy with only 51 trainable parameters.#qml #qcnn #pennylane