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Background

A computer vision algorithm was built for the purpose of identifying individual synovial nuclei in hematoxylin and esoin stained histological images.

Requirements

To use the algorithm, the following pieces of computer software are required:

  • A computer with any operating system (Windows, Linux, or MacOS)
  • Python 3.0+

Python Packages

  • skimage
  • numpy
  • matplotlib

Usage

After downloading the required Python libraries, the algorithm can be applied to the image as described in the tutorial python notebook.

File Descriptions

  • segment.py - contains functions relevant for nuclei segmentation
  • tutorial.ipynb - contains an example for identifying nuclei
  • example_image.jpg - example image provided for tutorial

License

Copyright 2021, The MITRE Corporation Approved for Public Release; Distribution Unlimited. Case Number 21-0081.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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