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antrikxh/Efficient-AD
Efficient-AD is a image classification model from antrikxh. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
Hey there! 👋 I am thrilled to introduce Efficient-AD, a cutting-edge Convolutional Neural Network (CNN) model designed specifically for detecting Alzheimer's disease using brain MRI scans. This innovative model is bu…
Downloads · 30 days
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2% of all-time downloads
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From the Hugging Face model README
Hey there! 👋 I am thrilled to introduce Efficient-AD, a cutting-edge Convolutional Neural Network (CNN) model designed specifically for detecting Alzheimer's disease using brain MRI scans. This innovative model is built upon the EfficientNetB0 architecture, showcasing remarkable accuracy and performance.
Alzheimer's disease poses a significant challenge, impacting cognitive functions and necessitating early detection for effective intervention. Efficient-AD takes a giant leap in Alzheimer's detection, achieving an outstanding accuracy of 99.06%. This model is the result of meticulous research and optimization, addressing the limitations of existing CNN architectures.
Efficient-AD showcases superior performance, outperforming other state-of-the-art models like DenseNet121, NASNetMobile, and VGG16. It excels in accuracy, precision, recall, and F1 score, making it a frontrunner in Alzheimer's disease detection.
Efficient-AD is now available on Hugging Face. You can seamlessly integrate this model into your projects.
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
Feel free to explore and integrate Efficient-AD into your projects. Together, let's make strides in early Alzheimer's detection and contribute to improved healthcare outcomes. 🌟