A Preliminary Comparison of Efficient Net-B3 and ResNet-50 for Detection and Subtype Classification of Intracranial Hemorrhage on Head Computed Tomography
Background & Objective: Intracranial hemorrhage (ICH) is one among leading neurological emergencies and diagnostic delay worsens outcomes. However, prompt radiological review is often unavailable in low-resource settings. Existing deep learning models for ICH detection largely prioritize accuracy over computational eff...