Early Alzheimer’s Disease Detection Through YOLO-Based Detection of Hippocampus Region in MRI Images
Author:
Affiliation:
1. Yuan Ze University,Taiwan
2. Asia University,Taiwan
3. National Central University,Taiwan
Funder
Ministry of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219186/10219411/10219503.pdf?arnumber=10219503
Reference18 articles.
1. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors;wang;arXivpreprint arXiv 2207 02696,2022
2. Yolov3: An incremental improvement;redmon;arXivpreprint arXiv 1804 02767,2018
3. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
4. CSPNet: A New Backbone that can Enhance Learning Capability of CNN
5. A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks;ramzan;Journal of Medical Systems,2020
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