Detail publikace

Supervised Segmentation for 3D Slicer

Originální název

Supervised Segmentation for 3D Slicer

Anglický název

Supervised Segmentation for 3D Slicer

Jazyk

en

Originální abstrakt

The purpose of this work is to introduce an extendable framework for training and usage of machine learning algorithms. This framework is bundled in an extension for 3D Slicer that is to be used for medical images segmentation. An example usage of the extension is also provided.

Anglický abstrakt

The purpose of this work is to introduce an extendable framework for training and usage of machine learning algorithms. This framework is bundled in an extension for 3D Slicer that is to be used for medical images segmentation. An example usage of the extension is also provided.

BibTex


@inproceedings{BUT139550,
  author="Daniel {Chalupa}",
  title="Supervised Segmentation for 3D Slicer",
  annote="The purpose of this work is to introduce an extendable framework for training and usage
of machine learning algorithms. This framework is bundled in an extension for 3D Slicer that is to
be used for medical images segmentation. An example usage of the extension is also provided.",
  booktitle="Proceedings of the 23rd Conference STUDENT EEICT 2017",
  chapter="139550",
  howpublished="online",
  year="2017",
  month="april",
  pages="296--298",
  type="conference paper"
}