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. Francoise Galateau Salle , Nolwenn Le Stang , Franck Tirode , Pierre Courtiol , Andrew G. Nicholson , Ming-Sound Tsao , Henry D. Tazelaar , Andrew Churg , Sanja Dacic , Victor Roggli , Daniel Pissaloux , Charles Maussion , Matahi Moarii , Mary Beth Beasley , Hugues Begueret , David B. Chapel , Marie Christine Copin , Allen R. Gibbs , Sonja Klebe , Sylvie Lantuejoul , Kazuki Nabeshima , Jean-Michel Vignaud , Richard Attanoos , Luka Brcic , Frederique Capron , Lucian R. Chirieac , Francesca Damiola , Ruth Sequeiros , Aurelie Cazes , Diane Damotte , Armelle Foulet , Sophie Giusiano-Courcambeck , Kenzo Hiroshima , Veronique Hofman , Aliya N. Husain , Keith Kerr , Alberto Marchevsky , Severine Paindavoine , Jean Michel Picquenot , Isabelle Rouquette , Christine Sagan , Jennifer Sauter , Francoise Thivolet , Marie Brevet , Philippe Rouvier , William D. Travis , Gaetane Planchard , Birgit Weynand , Thomas Clozel , Gilles Wainrib , Lynnette Fernandez-Cuesta , Jean-Claude Pairon , Valerie Rusch , Nicolas Girard Journal of Thoracic Oncology（2020）
Key words
Mesothelioma, Histology, Surgery, Systemic treatment
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
