Multilingual RECIST classification of radiology reports using supervised learning

• Main Authors: Luc Mottin (Author), Jean-Philippe Goldman (Author), Christoph Jäggli (Author), Rita Achermann (Author), Julien Gobeill (Author), Julien Knafou (Author), Julien Ehrsam (Author), Alexandre Wicky (Author), Camille L. Gérard (Author), Tanja Schwenk (Author), Mélinda Charrier (Author), Petros Tsantoulis (Author), Christian Lovis (Author), Alexander Leichtle (Author), Michael K. Kiessling (Author), Olivier Michielin (Author), Sylvain Pradervand (Author), Vasiliki Foufi (Author), Patrick Ruch (Author)
• Format: Book
• Published: Frontiers Media S.A., 2023-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

ObjectivesThe objective of this study is the exploration of Artificial Intelligence and Natural Language Processing techniques to support the automatic assignment of the four Response Evaluation Criteria in Solid Tumors (RECIST) scales based on radiology reports. We also aim at evaluating how langua...