Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Sockeel, P."'
Autor:
Dedieu, Lucas, Nerrienet, Nicolas, Nivaggioli, Adrien, Simmat, Clara, Clavel, Marceau, Gauthier, Arnaud, Sockeel, Stéphane, Peyret, Rémy
Recent advancements in deep learning have proven highly effective in medical image classification, notably within histopathology. However, noisy labels represent a critical challenge in histopathology image classification, where accurate annotations
Externí odkaz:
http://arxiv.org/abs/2404.07605
Autor:
Guichard, Loris, Simmat, Clara, Dupeux, Margot, Sockeel, Stéphane, Pozin, Nicolas, Lacroix-Triki, Magali, Miquel, Catherine, Sockeel, Marie, Prévot, Sophie
Introduction: Nottingham grading system is a major prognostic factor for invasive breast carcinoma (IBC). Its determination requires the evaluation of the mitotic score (MS) which is subject to low intra- and inter-observer reproducibility. The MS sh
Externí odkaz:
http://arxiv.org/abs/2310.10277
Autor:
Nivaggioli, Adrien, Pozin, Nicolas, Peyret, Rémy, Sockeel, Stéphane, Sockeel, Marie, Nerrienet, Nicolas, Clavel, Marceau, Simmat, Clara, Miquel, Catherine
In biomedical imaging, deep learning-based methods are state-of-the-art for every modality (virtual slides, MRI, etc.) In histopathology, these methods can be used to detect certain biomarkers or classify lesions. However, such techniques require lar
Externí odkaz:
http://arxiv.org/abs/2303.05180
Generalization is one of the main challenges of computational pathology. Slide preparation heterogeneity and the diversity of scanners lead to poor model performance when used on data from medical centers not seen during training. In order to achieve
Externí odkaz:
http://arxiv.org/abs/2301.13128
Autor:
Peyret, Rémy, Pozin, Nicolas, Sockeel, Stéphane, Kammerer-Jacquet, Solène-Florence, Adam, Julien, Bocciarelli, Claire, Ditchi, Yoan, Bontoux, Christophe, Depoilly, Thomas, Guichard, Loris, Lanteri, Elisabeth, Sockeel, Marie, Prévot, Sophie
Breast cancer is one of the most prevalent cancers worldwide and pathologists are closely involved in establishing a diagnosis. Tools to assist in making a diagnosis are required to manage the increasing workload. In this context, artificial intellig
Externí odkaz:
http://arxiv.org/abs/2301.06789
Autor:
Rémy Peyret, Nicolas Pozin, Stéphane Sockeel, Solène-Florence Kammerer-Jacquet, Julien Adam, Claire Bocciarelli, Yoan Ditchi, Christophe Bontoux, Thomas Depoilly, Loris Guichard, Elisabeth Lanteri, Marie Sockeel, Sophie Prévot
Publikováno v:
PLOS Digital Health, Vol 2, Iss 2, p e0000091 (2023)
Breast cancer is one of the most prevalent cancers worldwide and pathologists are closely involved in establishing a diagnosis. Tools to assist in making a diagnosis are required to manage the increasing workload. In this context, artificial intellig
Externí odkaz:
https://doaj.org/article/0c285490c3ab42778f496d3b93625fcc
Publikováno v:
Cortex: A Journal Devoted to the Study of the Nervous System & Behavior; Sep2024, Vol. 178, p32-50, 19p
Publikováno v:
In Journal of Visceral Surgery December 2017 154 Supplement 1:S13-S17
Publikováno v:
In Journal de Chirurgie Viscérale December 2017 154 Supplement 2:S13-S17
Autor:
Hamza Olleik, Elias Baydoun, Josette Perrier, Akram Hijazi, Josette Raymond, Marine Manzoni, Lucas Dupuis, Ghislain Pauleau, Yvain Goudard, Bruno de La Villéon, Géraldine Goin, Philippe Sockeel, Muhammad Iqbal Choudhary, Eric Di Pasquale, Muhammad Nadeem-ul-Haque, Hunain Ali, Arif Iftikhar Khan, Farzana Shaheen, Marc Maresca
Publikováno v:
Biomolecules, Vol 9, Iss 10, p 598 (2019)
Helicobacterpylori is one of the most prevalent pathogens colonizing 50% of the world’s population and causing gastritis and gastric cancer. Even with triple and quadruple antibiotic therapies, H. pylori shows increased prevalence of resistance to
Externí odkaz:
https://doaj.org/article/6343af147e614497a51395207c5ced34