Architecture of the proposed deep learning model for hip disease screening.
<p>The model consists of an EfficientNet-B3 backbone for feature extraction, followed by a nonlocal block for capturing long-range dependencies. The extracted features are then processed through global average pooling, a fully connected layer, and a sigmoid activation for binary classification...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , |
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|