Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Duran, Audrey"'
Autor:
Duran, Audrey, Dussert, Gaspard, Rouvière, Olivier, Jaouen, Tristan, Jodoin, Pierre-Marc, Lartizien, Carole
Publikováno v:
Medical Image Analysis, Elsevier, 2022, 77, pp.102347
Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent results in the detection of prostate cancer (PCa). However, characterizing prostate lesions aggressiveness in mp-MRI sequences is impossible in clinical practice, and biopsy rema
Externí odkaz:
http://arxiv.org/abs/2211.13238
Publikováno v:
19th IEEE International Symposium on Biomedical Imaging (ISBI), Mar 2022, Kolkata, India. pp.1-5
To our knowledge, all deep computer-aided detection and diagnosis (CAD) systems for prostate cancer (PCa) detection consider bi-parametric magnetic resonance imaging (bp-MRI) only, including T2w and ADC sequences while excluding the 4D perfusion sequ
Externí odkaz:
http://arxiv.org/abs/2207.02854
Publikováno v:
SPIE Medical Imaging 2022: Image Processing, Feb 2022, San Diego, United States. pp.178-184
In this work, we propose a deep U-Net based model to tackle the challenging task of prostate cancer segmentation by aggressiveness in MRI based on weak scribble annotations. This model extends the size constraint loss proposed by Kervadec et al. 1 in
Externí odkaz:
http://arxiv.org/abs/2207.05056
Autor:
Jaouen, Tristan, Souchon, Rémi, Moldovan, Paul C, Bratan, Flavie, Duran, Audrey, Hoang-Dinh, Au, Di Franco, Florian, Debeer, Sabine, Dubreuil-Chambardel, Marine, Arfi, Nicolas, Ruffion, Alain, Colombel, Marc, Crouzet, Sébastien, Gonindard-Melodelima, Christelle, Rouvière, Olivier
Publikováno v:
In Diagnostic and Interventional Imaging October 2023 104(10):465-476
Akademický článek
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Autor:
Duran, Audrey
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université de Lyon, 2022. Français. ⟨NNT : 2022LYSEI008⟩
Prostate cancer (PCa) is the most frequently diagnosed cancer in men in more than half the countries in the world and the fifth leading cause of cancer death among men in 2020. Diagnosis of PCa includes multiparametric magnetic resonance imaging acqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1398::2404062e2a4f15fdb70fc8679c938617
https://theses.hal.science/tel-03789679
https://theses.hal.science/tel-03789679
Akademický článek
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Publikováno v:
Medical Imaging with Deep Learning (MIDL)
Medical Imaging with Deep Learning (MIDL), Jul 2020, Montreal, Canada. pp.193-204
Medical Imaging with Deep Learning (MIDL), Jul 2020, Montreal, Canada. pp.193-204
International audience; In this work, we propose a novel end-to-end multi-class attention network to jointly perform peripheral zone (PZ) segmentation and PZ lesions detection with Gleason score (GS) group grading. After encoding the information on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6bd073635cb362854eb4558a4cd69ce5
https://hal.archives-ouvertes.fr/hal-02995640/document
https://hal.archives-ouvertes.fr/hal-02995640/document
Publikováno v:
Proceedings of SPIE; April 2022, Vol. 12032 Issue: 1 p120320Q-120320Q-7, 1082888p
Publikováno v:
Proceedings of SPIE; 12/30/2021, Vol. 12032, p120320Q-120320Q-7, 1p