A four-qubit QCNN classifies brain MRI as tumor/non-tumor with 88-89% accuracy and tumor type with 52-62% accuracy on a 3,264-image Kaggle dataset.
Clinical presentation and epidemiology of brain tumors firstly diagnosed in adults in the Emergency Department: a 10- year, single center retrospective study
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Application of Quantum Convolutional Neural Networks for MRI-Based Brain Tumor Detection and Classification
A four-qubit QCNN classifies brain MRI as tumor/non-tumor with 88-89% accuracy and tumor type with 52-62% accuracy on a 3,264-image Kaggle dataset.