Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome

Author:

Petrillo Antonella,Fusco Roberta,Barretta Maria Luisa,Granata Vincenza,Mattace Raso Mauro,Porto Annamaria,Sorgente Eugenio,Fanizzi Annarita,Massafra Raffaella,Lafranceschina Miria,La Forgia Daniele,Trombadori Charlotte Marguerite Lucille,Belli Paolo,Trecate Giovanna,Tenconi Chiara,De Santis Maria Carmen,Greco Laura,Ferranti Francesca Romana,De Soccio Valeria,Vidiri Antonello,Botta Francesca,Dominelli Valeria,Cassano Enrico,Boldrini Luca

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference94 articles.

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3. Schwab FD, Huang DJ, Schmid SM, Schötzau A, Güth U (2015) Self-detection and clinical breast examination: comparison of the two “classical” physical examination methods for the diagnosis of breast cancer. Breast 24:90–92

4. Heywang-Köbrunner S, Viehweg P, Heinig A, Küchler C (1997) Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions. Eur J Radiol 24:94–108

5. Dessouky B, Elsaid N, Shaaban Y (2017) Role of contrast-enhanced digital mammography in evaluation of breast lesions. Menoufia Med J 30:861

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