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Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center

Françoise Galateau-Sallé, Nolwenn Le Stang, Franck Tirode, Pierre Courtiol, Andrew G. Nicholson, Ming‐Sound Tsao, Henry D. Tazelaar, Andrew Churg, Sanja Đačić, Victor L. Roggli, Daniel Pissaloux, Charles Maussion, Matahi Moarii, Mary Beth Beasley, Hugues Bégueret, David B. Chapel, M.C. Copin, A R Gibbs, Sonja Klebe, Sylvie Lantuéjoul, Kazuki Nabeshima, Jean-Michel Vignaud, Richard Attanoos, Luka Brčić, Frédérique Capron, Lucian R. Chirieac, Francesca Damiola, Ruth Sequeiros, Aurélie Cazes, Diane Damotte, A Foulet, Sophie Giusiano, Kenzo Hiroshima, Véronique Hofman, Aliya N. Husain, Keith M. Kerr, Alberto M. Marchevsky, Severine Paindavoine, Jean Michel Picquenot, Isabelle Rouquette, Christine Sagan, Jennifer L. Sauter, F. Thivolet, Marie Brevet, Philippe Rouvier, William D. Travis, G. Planchard, Birgit Weynand, Thomas Clozel, Gilles Wainrib, Lynnette Fernandez‐Cuesta, J.‐C. Pairon, Valerie W. Rusch, Nicolas Girard

2020Journal of Thoracic Oncology64 citationsDOIOpen Access PDF

Topics & Concepts

MesotheliomaMedicineBAP1CDKN2APathologyRadiologyOncologyInternal medicineCancerOccupational and environmental lung diseasesGenetic factors in colorectal cancerAluminum toxicity and tolerance in plants and animals
Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center | Litcius