Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.

Date publication

avril 2019

Journal

International journal of computer assisted radiology and surgery

Auteurs

Membres identifiés du Cancéropôle Est :
Pr PESSAUX Patrick , Pr HEITZ Fabrice , Dr NOBLET Vincent

Tous les auteurs :
Ouhmich F, Agnus V, Noblet V, Heitz F, Pessaux P

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/31041697

Résumé

We address the automatic segmentation of healthy and cancerous liver tissues (parenchyma, active and necrotic parts of hepatocellular carcinoma (HCC) tumor) on multiphase CT images using a deep learning approach.

Mots clés

Fully convolutional networks (FCNs), Hepatocellular carcinoma, Liver tissues, Multiphase CT, Semantic segmentation

Référence

Int J Comput Assist Radiol Surg. 2019 Apr 30;: