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Code for paper "A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems"

Home Page: https://www5.cs.fau.de/~amrehn

Python 44.04% HTML 12.73% CSS 3.28% JavaScript 24.46% Batchfile 0.06% Shell 0.02% Jupyter Notebook 11.95% Cython 3.46%
paper-implementations interactive-segmentation framework evaluation usability-study fau growcut

interactive_image_segmentation_evaluation's Introduction

Interactive Image Segmentation Evaluation

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This repository provides a JavaScript and Python implementation of our Usability Evaluation Framework for Interactive Image Segmentation Systems.

User Interface (WebApp)

HTML5 interactive image segmentation application for user interaction log collection. โ†’ WebApp

Click here for an interactive demo.

Dependencies

Evaluation Framework

Python interaction log evaluation framework. โ†’ Evaluation

Dependencies

  • Scikit-learn Efficient tools for data analysis
  • MedPy Medical image processing in Python
  • Scikit-image Algorithms for image processing
  • Joblib Persistence and parallelization tool
  • Cython Static compiler for C/Python files
  • Tqdm Progress bar for Python
  • Zenlog Straightforward script logging

Paper

M. Amrehn, R. Kortekaas, M. Strumia, M. Weingarten, M. Kowarschik, A. Maier "A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems."

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