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Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses.
Ellmann S, Wenkel E, Dietzel M, Bielowski C, Vesal S, Maier A, Hammon M, Janka R, Fasching PA, Beckmann MW, Schulz Wendtland R, Uder M, Bäuerle T. Ellmann S, et al. Among authors: dietzel m. PLoS One. 2020 Jan 30;15(1):e0228446. doi: 10.1371/journal.pone.0228446. eCollection 2020. PLoS One. 2020. PMID: 31999755 Free PMC article.
Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy.
Clauser P, Krug B, Bickel H, Dietzel M, Pinker K, Neuhaus VF, Marino MA, Moschetta M, Troiano N, Helbich TH, Baltzer PAT. Clauser P, et al. Among authors: dietzel m. Clin Cancer Res. 2021 Apr 1;27(7):1941-1948. doi: 10.1158/1078-0432.CCR-20-3037. Epub 2021 Jan 14. Clin Cancer Res. 2021. PMID: 33446565 Free PMC article.
Images Are Data: A Breast Imaging Perspective on a Contemporary Paradigm.
Dietzel M, Clauser P, Kapetas P, Schulz-Wendtland R, Baltzer PAT. Dietzel M, et al. Rofo. 2021 Aug;193(8):898-908. doi: 10.1055/a-1346-0095. Epub 2021 Feb 3. Rofo. 2021. PMID: 33535260 Free article. Review. English.
The concept and key research of radiomics in the field of breast imaging will be discussed in this narrative review.. CITATION FORMAT: . Dietzel M, Clauser P, Kapetas P et al. Images Are Data: A Breast Imaging Perspective on a Contemporary Paradigm. ...
The concept and key research of radiomics in the field of breast imaging will be discussed in this narrative review.. CITATION FORMAT: . …
180 results