OPTICS & PHOTONICS International Congress 2024

Presentation information

IP2024 » Oral Presentation

Computational Imaging 2

Thu. Apr 25, 2024 11:00 AM - 12:00 PM 414+415 (Pacifico Yokohama Conference Center)

Session Chair: Koichi Nitta (Kobe University)

11:45 AM - 12:00 PM

[IP6-03] Assessing U-Net and Attention-UW Net in the Segmentation of Brain Tumor Images from Magnetic Resonance Imaging

*Clara Lavita Angelina1,2, Sunil Vyas3, Hsuan Ting Chang1,2, Yuan Luo3,4,5, Fu Ren Xiao3 (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)

Image segmentation in MRI is essential for diagnosis. Our study applied Attention-UW Net for brain lesion segmentation in MRI, showing its superiority over U-Net. Attention-UW Net achieved better performance (IoU: 0.80 vs. 0.75, precision: 0.86 vs. 0.85, recall: 0.83 vs. 0.70, F1 score: 0.80 vs. 0.81).

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