spratyush02/RSNA-Intracranial-Hemorrhage-Detection-using-Deep-Learning

We present a method to correctly predict presence of Intracranial Hemorrhage and identify its type. Our model imitates the procedure followed by radiologists to analyse a 3D CT scan in real-world. The model utilizes multi-window 3D context from neighboring slices to improve predictions at each slice and subsequently, aggregates the slicelevel predictions to provide patient diagnosis for Intracranial Hemorrhage . Our proposed architecture performs significantly better than standard single window based non-contextual models

Python