@inproceedings{16c2534690d442578844883fa98a5037,
title = "Segmenting Alzheimer's Disease MRI Slices for Hippocampal Volume Calculation",
abstract = "Alzheimer's is a neurodegenerative disease that quietly steals human memory. This study analyzed hippocampal volume in Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), and Normal Cognition (NC) using MRI image slices from the ADNI database and YOLOv8 instance segmentation. We used 300 images to segment the left and right hippocampal. This study focused on volume calculation from five MRI image slices. The results showed 0.98 (AD), 0.92 (MCI), and 0.90 (NC) and revealed significant volumetric differences showed in the NC class (P = 0.045). This suggests early neuroanatomical changes can occur without cognitive symptoms, highlighting the potential of deep learning in the early detection of neurodegenerative diseases.",
keywords = "Brain, Neuroanatomy, Volume, YOLO",
author = "Tan, {Hsiao Chuan} and Ramadhan, {Gilang Titah} and Shen, {Wei Cheng} and Chang, {Wen Thong} and Lin, {Chih Yang} and Liau, {Ben Yi} and Jan, {Yih Kuen} and Yori Pusparani and Lung, {Chi Wen}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 ; Conference date: 09-07-2024 Through 11-07-2024",
year = "2024",
doi = "10.1109/ICCE-Taiwan62264.2024.10674069",
language = "English (US)",
series = "11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "307--308",
booktitle = "11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024",
address = "United States",
}