Abstract #0170

Triplanar Ensemble Detection Network (TPE-Det): A Single End-to-End Model for Efficient Detection of Cerebral Microbleeds in MR Images

Haejoon Lee¹, Mohammed A. Al-masni¹, Jun-Ho Kim¹, Seul Lee¹, Kyu-Jin Jung¹, Woo-Ram Kim², Young Noh^2,3, and Dong-Hyun Kim¹

¹Department of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, ²Neuroscience Research Institute, Gachon University, Incheon, Korea, Republic of, ³Department of Neurology, Gachon University College of Medicine, Gil Medical Center, Incheon, Korea, Republic of

Synopsis

Automated detection of Cerebral Microbleeds (CMBs) in Magnetic Resonance (MR) images can be clinically useful because of the small size of CMBs and the presence of numerous mimics. In this study, we propose an end-to-end Triplanar Ensemble Detection Network (TPE-Det) that demonstrates notable performance with only a single stage. Via the proposed TPE-Det, we combined CMBs detection results from axial, sagittal, and coronal planes. When considering the additional planes, the average False Positives per patient (FP_avg) decreased from 29.16 to 0.92 compared to the case of using only the axial plane, preserving the high sensitivity of 95.94%.

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