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 features of primary brain tumours: a case –control study using electronic primary care records
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
physics.med-ph 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.