Best imaging signs identified by radiomics could outperform the model: application to differentiating lung carcinoid tumors from atypical hamartomas
Paul Habert(Inserm), Laure Fournier(Inserm), P. Thomas(Royal Brisbane and Women's Hospital), Françoise Le Pimpec‐Barthes(Hôpital Européen), Armelle Arnoux(Hôpital Européen Georges-Pompidou), Loïc Duron(Inserm), Kathia Chaumoître(Aix-Marseille Université), Laure Gibault(Assistance Publique – Hôpitaux de Paris), Antoine Decoux(Inserm), Lilia Chermati(Aix-Marseille Université), Loïc Juquel(Aix-Marseille Université), A. Varoquaux(Aix-Marseille Université), Stéphane Garcia(Centre National de la Recherche Scientifique), Jean‐Yves Gaubert(Hôpital de la Timone)
Cited by 9
Related Papers
Collagen-derived proline promotes pancreatic ductal adenocarcinoma cell survival under nutrient limited conditions
|Nature Communications|2017|403
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
|Diagnostic and Interventional Imaging|2023|384
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|286
Cancer-associated fibroblast-derived annexin A6+ extracellular vesicles support pancreatic cancer aggressiveness
|Journal of Clinical Investigation|2016|212
How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
|European Radiology|2020|212