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 Noh2,3, 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
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 (FPavg) 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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