Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis

Cai, Lie; Pfob, Andre; Barr, Richard G.; Duda, Volker; Alwafai, Zaher; Balleyguier, Corinne; Clevert, Dirk-Andre; Fastner, Sarah; Gomez, Christina; Goncalo, Manuela; Gruber, Ines; Hahn, Markus; Kapetas, Panagiotis; Nees, Juliane; Ohlinger, Ralf; Riedel, Fabian; Rutten, Matthieu; Stieber, Anne; Togawa, Riku; Sidey-Gibbons, Chris; Tozaki, Mitsuhiro; Wojcinski, Sebastian; Heil, Joerg; Golatta, Michael

Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis

Autor(en):

Cai, Lie; Pfob, Andre; Barr, Richard G.; Duda, Volker; Alwafai, Zaher; Balleyguier, Corinne; Clevert, Dirk-Andre; Fastner, Sarah; Gomez, Christina; Goncalo, Manuela; Gruber, Ines; Hahn, Markus; Kapetas, Panagiotis; Nees, Juliane; Ohlinger, Ralf; Riedel, Fabian; Rutten, Matthieu; Stieber, Anne; Togawa, Riku; Sidey-Gibbons, Chris; Tozaki, Mitsuhiro; Wojcinski, Sebastian; Heil, Joerg; Golatta, Michael

Tübinger Autor(en):

Gruber, Ines
Hahn, Markus

Erschienen in:

Journal of Clinical Oncology (2025), Bd. 43, H. 32, S. 3482-3493

Verlagsangabe:

Alexandria, Va. : American Society of Clinical Oncology

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.1200/JCO-24-02681

ISSN:

0732-183X