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Nerve Segmentation Library is a Python toolkit for segmenting nerves in ultrasound images using deep learning. It includes pre-trained models, preprocessing tools, and evaluation metrics to assist in automating nerve detection and analysis for medical research.

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Segmentation and NRRD Conversion Library

This library allows you to create segmentation masks and NRRD images from original DICOM files.

Examples

us = UltrasoundSegmentation(input_path="test")
us.dicom2nrrdImage()

This code will save your converted image No. 1 in nrrd format in the directory where you are working

us = UltrasoundSegmentation(input_path="test")
us.us.dicom2nrrdMask()

This code will create a mask for image No. 2 and save it in the working directory

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Nerve Segmentation Library is a Python toolkit for segmenting nerves in ultrasound images using deep learning. It includes pre-trained models, preprocessing tools, and evaluation metrics to assist in automating nerve detection and analysis for medical research.

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