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manual image labelling and transfer learning for segmentation

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Authors: Jenny Huang, Ian Hunt-Isaak, William Palmer, Cameron Smith

Origin

This is a fork of a very useful project found here https://github.com/ianhi/AC295-final-project-JWI/. Go check it out!

Purpose

This is a jupyter notebook widget meant to integrate into a DataJoint pipeline for manual segmentation. It has been altered to take grayscale numpy array images as input, along with an argument of a previous segmentation array. The output is a list of numpy arrays, each containing a different manually segmented mask.

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manual image labelling and transfer learning for segmentation

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  • Jupyter Notebook 96.0%
  • Python 4.0%