Highlights
- •A convolutional neural network is proposed for fetal biometry measurement.
- •MFP-Unet architecture is modified and attention gates are incorporated.
- •A novel algorithm is also developed for detection femur images.
- •A system is proposed for determining the second channel of the network.
- •The performance of the model is evaluated using public and prepared datasets.
Abstract
Purpose
Methods
Results
Conclusions
Keywords
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