Semantic-Based Optimization of Deep Learning for Efficient Real-Time Medical Image Segmentation
Zhenkun Wei,
Jia Liu,
Yu Yao
Abstract:In response to the critical need for advanced solutions in medical imaging segmentation, particularly for real-time applications in diagnostics and treatment planning, this study introduces SM-UNet. This novel deep learning architecture efficiently addresses the challenge of real-time, accurate medical image segmentation by integrating convolutional neural network (CNN) with multilayer perceptron (MLP). The architecture uniquely combines an initial convolutional encoder for detailed feature extraction, MLP mod… Show more
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