vessel-annotation

Annotate blood vessels using a web browser

https://github.com/leomol/vessel-annotation

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Annotate blood vessels using a web browser

Basic Info
  • Host: GitHub
  • Owner: leomol
  • License: gpl-3.0
  • Language: JavaScript
  • Default Branch: master
  • Size: 1.45 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created over 6 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Blood vessel annotation tool

DOI

Manual outlining of vascular cross-sections using a web browser. The annotation task consists of adjusting a polygonal shape with a fixed number of vertices on the top of the vessel. The user can inspect the time evolution of the vessel and their annotations by freely scrolling through the time-lapse images.

Annotation GUI

This is a standalone version of the annotation toolbox that allows you to load images, complete the task, and download the results to your computer. An alternative version of this annotation toolbox (not available here) runs on a web server and allows an arbitrary number of annotators to simultaneously complete these tasks directly in the cloud where tasks are automatically and centrally served and stored.

For the study "Astrocytes amplify neurovascular coupling to sustained activation of neocortex in awake mice", the annotation tool was deployed in Amazon Web Services and the tasks (consisting of outlining over 25000 images) were completed by crowdsourcing help from participants from Amazon Mechanical Turk.

Prerequisites

Installation

Usage

  • If running locally, open annotation.html with a web browser, otherwise, go to the standalone demo.
  • Follow the annotation instructions.
  • When finished, click on Submit to download the results.

Demo

Output

The results are downloaded to your computer in JSON format where each line corresponds to an image. The following fields are saved: * folder: name of the selected folder. * name: name of the image completed within folder. * area: area calculated inside the polygon drawn. * vertices: x and y coordinates of each point in the drawing. * polygon: x and y coordinates of each point of the concavehall around the vertices. * height: height of the image presented to the user * assignmentId/hitId/workerId: variables used in the server version of the toolbox to identify assignment, task, and annotator, respectively. * start: when task started. * end: when task ended.

Software license

© 2018 Leonardo Molina

Owner

  • Name: Leo
  • Login: leomol
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
title: "Blood vessel annotation tool"
abstract: "Crowdsource annotation tool for outlining vascular cross-sections"
message: If you use this software, please cite it.
type: software
version: 1.0.0
date-released: 2020-01-16
repository-code: https://github.com/leomol/vessel-annotation
authors:
  - family-names: "Molina"
    given-names: "Leonardo A."
    email: "leonardomt@gmail.com"
    affiliation: "University of Calgary"
    orcid: https://orcid.org/0000-0002-6601-7185

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