SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells

no code implementations • 15 Jan 2019 • Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong

Conclusion: The SISC radiomic sequencer is able to achieve state-of-the-art results in lung cancer prediction, and also offers prediction interpretability in the form of critical response maps.

Computed Tomography (CT) Decision Making