Deep Learning based Automated Screening for Intracranial Hemorrhages and GRAD-CAM Visualizations on Non-Contrast Head Computed Tomography Volumes

• Published in: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (Online) pp. 01 - 05
• Main Authors: Deepika, Pon, Sistla, Prasad, Subramaniam, Ganesh, Rao, Madhav
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27.09.2022
• Subjects: Clinical relevance- Radiologists supplemented with artificial intelligence (AI) and GRAD-CAM visualizations can make diag-nosis and decision making efficient and error-free. AI can easily raise flag on abnormalities that are not abruptly visible to the human eye and on the subjects who require immediate medical attention; Computational modeling; Computed tomography; Computer architecture; Deep learning; Head; Pipelines; Visualization

Intracranial Hemorrhage is a serious medical emer-gency which requires immediate medical attention. With most of the countries facing acute shortage of radiologists, it is important to develop an automated system which analyses the radiographic images and prioritise cases that require urgent medical...