OPTICS & PHOTONICS International Congress 2024

Presentation information

BISC2024 » Oral Presentation

Session 5

Thu. Apr 25, 2024 9:00 AM - 10:15 AM 419 (Pacifico Yokohama Conference Center)

Session Chair: Tom Vettenburg (University of Dundee)

9:30 AM - 9:45 AM

[BISC5-03] The Modified SE(2) CNN: Geometric Deep Learning for Classifying Magnetic Resonance Imaging of Brain Tumor

*Clara Lavita Angelina1,2, Sunil Vyas3, Fu Ren Xiao3, Yuan Luo3,4,5, Hsuan Ting Chang1,2 (1. Department of Electrical Engineering, National Yunlin University of Science and Technology, 2. Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 3. Institution of Medical Device and Imaging, National Taiwan University, 4. YougLin Institute of Health, National Taiwan University, 5. Program for Precision Health and Intelligent Medicine, National Taiwan University)

Early-stage brain tumor detection is crucial for survival. This research uses a modified SE(2) CNN for MRI brain tumor categorization. Trained on 2611 scans in five classes, the model excels in binary classification, especially in AVM vs. non-AVM, with high accuracy and F1 score. It also identifies Meningioma, Pituitary, Metastases, and Schwannoma, with metrics over 0.5.

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