qml-medimage
sebasmos
Quantum SVM for medical image classification using deep embeddings from chest X-rays (MIMIC-CXR). Demonstrates quantum advantage at low feature dimensionality with kernel eigenspectrum explainability
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3 data points · 2026-07-25 → 2026-08-31How do you feel about this project?
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Question copied to clipboardWhat is the sebasmos/qml-medimage GitHub project? Description: "Quantum SVM for medical image classification using deep embeddings from chest X-rays (MIMIC-CXR). Demonstrates quantum advantage at low feature dimensionality with kernel eigenspectrum explainability". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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