[ITK] [ITK-users] New Submission: Fully Automatic Segmentation of Head and Neck Organs using Active Appearance Models
MIDAS Journal
noreply at insightsoftwareconsortium.org
Mon Feb 22 09:42:51 EST 2016
Hello,
A new submission has been added to the MIDAS Journal.
Title: Fully Automatic Segmentation of Head and Neck Organs using Active Appearance Models
Authors: Mannion-Haworth R., Bowes M., Ashman A., Guillard G., Brett A., Vincent G.
Abstract: We present a fully automatic model based system for segmenting the mandible, parotid and submandibular glands, brainstem, optic nerves and the optic chiasm in CT images, which won the MICCAI 2015 Head and Neck Auto Segmentation Grand Challenge. The method is based on Active Appearance Models (AAM) built from manually segmented examples via a cancer imaging archive provided by the challenge organisers. High quality anatomical correspondences for the models are generated using a Minimum Description Length (MDL) Groupwise Image Registration method. A multi start optimisation scheme is used to robustly match the model to new images. The model has been cross validated on the training data to a good degree of accuracy, and successfully segmented all the test data.
Download and review this publication at: http://hdl.handle.net/10380/3537
Generated by the MIDAS Journal
You are receiving this email because you asked to be informed by the MIDAS Journal for new submissions. To change your email preference visit http://www.midasjournal.org/ .
_____________________________________
Powered by www.kitware.com
Visit other Kitware open-source projects at
http://www.kitware.com/opensource/opensource.html
Kitware offers ITK Training Courses, for more information visit:
http://www.kitware.com/products/protraining.php
Please keep messages on-topic and check the ITK FAQ at:
http://www.itk.org/Wiki/ITK_FAQ
Follow this link to subscribe/unsubscribe:
http://public.kitware.com/mailman/listinfo/insight-users
More information about the Community
mailing list