通过使用深度学习模型增强的元启发算法来诊断帕金森病的改进方法
Saurav Mallik1, Babita Majhi2, Aarti Kashyap2
1harvard public health.
Research square
|October 27, 2023
概括
通过优化深度学习模型,提前检测帕金森病 (PD) 得到了改进. 这些模型的准确性超过99%,有助于及时诊断和治疗PD.
科学领域:
- 神经学 神经学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 由于帕金森病的进展缓慢,早期诊断帕金森病 (PD) 仍然是一个临床挑战.
- 机器学习和深度学习模型越来越多地用于PD检测.
结论:
- 优化的深度学习模型显示出对准确和早期发现帕金森病的重大前景.
- 用GWO增强的模型在标准医学成像数据集上实现了近乎完美的性能.
- 这种方法在诊断PD方面提供了潜在的进步,促进了早期干预.
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