Quantum U-Net with Uncertainty Quantification for Brain Tumor Segmentation: A Hybrid Quantum-Classical Approach
Authors
Keval Shah
Department of Computer Science and Engineering (Data Science), Dwarkadas J. Sanghvi College of Engineering, Mumbai, India
Rajat Masanagi
Department of Computer Science and Engineering (Data Science), Dwarkadas J. Sanghvi College of Engineering, Mumbai, India
Maaz Saboowala
Department of Computer Science and Engineering (Data Science), Dwarkadas J. Sanghvi College of Engineering, Mumbai, India
Namita Pulgam
Department of Computer Science and Engineering (Data Science), Dwarkadas J. Sanghvi College of Engineering, Mumbai, India
Nilesh Marathe
Department of Computer Science and Engineering (Data Science), Dwarkadas J. Sanghvi College of Engineering, Mumbai, India
DOI: https://doi.org/10.2478/ijssis-2026-0063 | Journal eISSN: 1178-5608
Language: English
Submitted on: Apr 1, 2026
Published on: Sep 3, 2026
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2026 Keval Shah, Rajat Masanagi, Maaz Saboowala, Namita Pulgam, Nilesh Marathe, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.