A Fully Automatic based Deep Learning Approach for Aneurysm Detection in DSA Images

Intracranial Aneurysm (IA) is a weaknesses of the cerebral arteries. Their rupture causes heavy consequences. Therefore, accurately assessing the risk of IA rupture and intervening timely is critical for improving the survival rate and prognosis of patients. We present in this paper a new IA detection method based on Convolutional Neural Networks (CNN). All the IA are detected in 2D-DSA dataset by the proposed method with zero false negative.

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