CT Evaluation of 2D and 3D Holistic Deep Learning Methods for the Volumetric Segmentation of Airway Lesions
| dc.rights.license | open | en_US |
| hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
| dc.contributor.author | BOUZID, Amel Imene Hadj | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | DENIS DE SENNEVILLE, Baudouin
IDREF: 101018363 | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | BALDACCI, Fabien
IDREF: 142618446 | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | DESBARATS, Pascal
IDREF: 060726806 | |
| hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
| dc.contributor.author | BERGER, Patrick
ORCID: 0000-0003-4702-0343 IDREF: 060717998 | |
| hal.structure.identifier | Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux] | |
| dc.contributor.author | BENLALA, Ilyes | |
| hal.structure.identifier | Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux] | |
| dc.contributor.author | DOURNES, Gaël | |
| dc.date.accessioned | 2025-06-18T08:56:15Z | |
| dc.date.available | 2025-06-18T08:56:15Z | |
| dc.date.issued | 2024 | |
| dc.date.conference | 2024-05-27 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/206944 | |
| dc.description.abstractEn | This research embarked on a comparative exploration of the holistic segmentation capabilities of Convolutional Neural Networks (CNNs) in both 2D and 3D formats, focusing on cystic fibrosis (CF) lesions. The study utilized data from two CF reference centers, covering five major CF structural changes. Initially, it compared the 2D and 3D models, highlighting the 3D model's superior capability in capturing complex features like mucus plugs and consolidations. To improve the 2D model's performance, a loss adapted to fine structures segmentation was implemented and evaluated, significantly enhancing its accuracy, though not surpassing the 3D model's performance. The models underwent further validation through external evaluation against pulmonary function tests (PFTs), confirming the robustness of the findings. Moreover, this study went beyond comparing metrics; it also included comprehensive assessments of the models' interpretability and reliability, providing valuable insights for their clinical application. | |
| dc.language.iso | EN | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject.en | Image and Video Processing (eess.IV) | |
| dc.subject.en | Computer Vision and Pattern Recognition (cs.CV) | |
| dc.subject.en | Machine Learning (cs.LG) | |
| dc.subject.en | FOS: Electrical engineering | |
| dc.subject.en | electronic engineering | |
| dc.subject.en | information engineering | |
| dc.subject.en | FOS: Computer and information sciences | |
| dc.title.en | CT Evaluation of 2D and 3D Holistic Deep Learning Methods for the Volumetric Segmentation of Airway Lesions | |
| dc.type | Communication dans un congrès | en_US |
| dc.identifier.doi | 10.1109/ISBI56570.2024.10635201 | en_US |
| dc.subject.hal | Informatique [cs] | en_US |
| bordeaux.page | 1-5 | en_US |
| bordeaux.hal.laboratories | Centre de Recherche Cardio-Thoracique de Bordeaux (CRCTB) - U1045 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.conference.title | ISBI 2024 - 21st IEEE International Symposium on Biomedical Imaging | en_US |
| bordeaux.conference.city | Athènes | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-04793701 | |
| hal.version | 1 | |
| hal.invited | non | en_US |
| hal.proceedings | non | en_US |
| hal.conference.end | 2024-05-30 | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2024&rft.spage=1-5&rft.epage=1-5&rft.au=BOUZID,%20Amel%20Imene%20Hadj&DENIS%20DE%20SENNEVILLE,%20Baudouin&BALDACCI,%20Fabien&DESBARATS,%20Pascal&BERGER,%20Patrick&rft.genre=unknown |