Lecture notes in networks and systems

Toward Scalable and Interpretable Brain Tumor MRI Classification Using Quantum Support Vector Machines

Soha Rawas, Duaa AlSaeed

Published Sep 2, 2026• 0 citations

Related papers

Hybrid Quantum-Classical Approach for MRI-Based Brain Tumor Detection and Classification

Harra Nayak, Mahek Trevadia, Reet Dengle +1 more

Quantum Convolutional Neural Networks for Brain Tumor MRI Image Classification: Architecture, Implementation, and Performance Analysis

Priyanka Killedar, Vibha Tiwari

A Quantum Enhanced Deep Learning Approach for Brain Tumor MRI Classification: Effects of Qubit Count and Quantum Depth on Model Performance

Hesham Younis, Zeinab E. Attia, Hesham Ahmed Hefny

Quantum-Enhanced Multimodal Deep Learning Framework for Brain Tumor Classification Using MRI and Pseudo-PET Imaging

K Priya, N Harshavardhana

Quantum convolutional neural network for MRI brain tumor analysis: Binary and multiclass classification using a four-qubit architecture

Sitti Yani, Sugih Pratama Nugraha, Ariiq Islam Alfajri +5 more

Hybrid CNN–VQC for Brain Tumor MRI Classification

P Sree Manvitha, Ramdas Kapila