CITATION.cff

cff-version: 1.2.0
title: MISe - Multidimensional Image Segmentation
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Ilan Francisco
    family-names: Silva
    email: ilanfsilva@gmail.com
    orcid: 'https://orcid.org/0000-0003-4019-3380'
    affiliation: University of Campinas
  - given-names: Taylla Milena
    family-names: Theodoro
    email: tayllamth@gmail.com
    affiliation: University of Campinas
  - given-names: Azael Melo
    family-names: Sousa
    email: azaelmsousa@gmail.com
    affiliation: University of Campinas
  - orcid: 'https://orcid.org/0000-0002-2914-5380'
    email: afalcao@ic.unicamp.br
    given-names: Alexandre Xavier
    family-names: Falcão
    affiliation: University of Campinas
identifiers:
  - type: doi
    value: 10.5281/zenodo.8280035
repository-code: 'https://github.com/LIDS-UNICAMP/MISe'
abstract: >-
  Official repository of the software MISe -
  Multidimensional Image Segmentation. MISe offers a suite
  of image segmentation and analysis algorithms developed
  using the Image Foresting Transform (IFT) framework,
  coupled with image visualization and volume rendering
  tools. Living up to its name, MISe accepts the workload
  with various 2D, 3D, and 4D images.
keywords:
  - Interactive Image Segmentation
  - Medical Image Analysis
  - Multidimensional Visualizer
license: MIT
version: v0.0.1-alpha
date-released: '2023-08-24'