残差神经网络
疾病
神经科学
计算机科学
医学
人工智能
心理学
深度学习
病理
作者
V. P. Nithya,N. Mohanasundaram,R. Santhosh
标识
DOI:10.2174/1573405620666230825113344
摘要
The proposed ResNet-50 model with shortcut links between three residual layers, combined with image preprocessing techniques, provides an effective early detection system for AD. The study demonstrates the potential of deep learning and image processing techniques in developing accurate and efficient diagnostic tools for AD. The proposed method improves the existing approaches to AD classification and provides a promising framework for future research in this area.
科研通智能强力驱动
Strongly Powered by AbleSci AI