Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Pierre-Henri Conze; A. Emre Kavur; Emilie Cornec-Le Gall; N. Sinem Gezer; yannick Le Meur; M. Alper Selver; François Rousseau

doi:10.1016/j.artmed.2021.102109

Journal articles

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Pierre-Henri Conze ^{1, 2} A. Emre Kavur ³ Emilie Cornec-Le Gall ^{4, 5} N. Sinem Gezer ³ yannick Le Meur ^{4, 6} M. Alper Selver ³ François Rousseau ^{1, 2}

1 IMT Atlantique - ITI - Département lmage et Traitement Information

2 LaTIM - Laboratoire de Traitement de l'Information Medicale

3 DEÜ - Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir]

4 CHRU Brest - Centre Hospitalier Régional Universitaire de Brest

5 GGB - Génétique, génomique fonctionnelle et biotechnologies (UMR 1078)

6 LBAI - Lymphocytes B, Autoimmunité et Immunothérapies

Document type :

Journal articles

Domain :

Computer Science [cs] / Image Processing [eess.IV]

Computer Science [cs] / Medical Imaging

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadata

https://hal-imt-atlantique.archives-ouvertes.fr/hal-03219309
Contributor : Pierre-Henri Conze Connect in order to contact the contributor
Submitted on : Thursday, May 6, 2021 - 12:19:21 PM
Last modification on : Wednesday, June 1, 2022 - 10:34:03 AM

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Links full text

Identifiers

Collections

Citation

Export

Metrics

32

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Links full text

Identifiers

Collections

Citation

Export

Share

Metrics

32