The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis

OBJECTIVES: AI-based algorithms for medical image analysis showed comparable performance to human image readers. However, in practice, diagnoses are made using multiple imaging modalities alongside other data sources. We determined the importance of this multi-modal information and compared the diag...

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Detalles Bibliográficos
Autores principales: Pfob, André, Sidey-Gibbons, Chris, Barr, Richard G., Duda, Volker, Alwafai, Zaher, Balleyguier, Corinne, Clevert, Dirk-André, Fastner, Sarah, Gomez, Christina, Goncalo, Manuela, Gruber, Ines, Hahn, Markus, Hennigs, André, Kapetas, Panagiotis, Lu, Sheng-Chieh, Nees, Juliane, Ohlinger, Ralf, Riedel, Fabian, Rutten, Matthieu, Schaefgen, Benedikt, Schuessler, Maximilian, Stieber, Anne, Togawa, Riku, Tozaki, Mitsuhiro, Wojcinski, Sebastian, Xu, Cai, Rauch, Geraldine, Heil, Joerg, Golatta, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123064/
https://www.ncbi.nlm.nih.gov/pubmed/35175381
http://dx.doi.org/10.1007/s00330-021-08519-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123064/
https://www.ncbi.nlm.nih.gov/pubmed/35175381
http://dx.doi.org/10.1007/s00330-021-08519-z

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