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

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2019★ 6 cited

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

Vignesh Sankar, Devinder Kumar, David A. Clausi +2

Objective: Lung cancer is the leading cause of cancer-related death worldwide. Computer-aided diagnosis (CAD) systems have shown significant promise in recent years for facilitatin…