Brain Tumour Grading System — Dual Pipeline Quantum-Classical Approach
Dahiya, Komal;
Brain Tumour Grading System — Dual Pipeline Quantum-Classical Approach
Final year B.Tech Artificial Intelligence and Data Science project. A dual-pipeline brain tumour grading system combining ResNet50-UNet deep learning segmentation with Variational Quantum Circuits. Pipeline 1 grades LGG from MRI scans. Pipeline 2 classifies LGG vs GBM using clinical genomic features achieving 84.81% accuracy and 93.67% recall on 862 TCGA patients.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average