Shypd.aiThe largest open index of AI toolsultrasound-nerve-segmentation is a Clinical & Healthcare Pro tool that provides a deep learning tutorial for ultrasound nerve segmentation using Keras. It offers a starting point for building deep neural networks for image segmentation tasks.
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ultrasound-nerve-segmentation is a deep learning tutorial designed for the Kaggle Ultrasound Nerve Segmentation competition, utilizing the Keras library. This project demonstrates how to build a deep neural network for segmenting nerves in ultrasound images. The architecture is inspired by U-Net, featuring skip connections from encoder to decoder layers. It includes scripts for data processing, model definition, training, and generating submission files. The tutorial details the use of a convolutional auto-encoder, a custom Dice coefficient loss function, and Adam optimizer for training. It serves as a practical guide for those looking to implement image segmentation with deep learning, providing a foundational model that achieves a competitive score on the leaderboard.
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