AI-based time-intensity-curve assessment of breast tumors on MRI
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10298-8.pdf
Reference10 articles.
1. Jansen SA, Shimauchi A, Zak L et al (2009) Kinetic curves of malignant lesions are not consistent across MRI systems: need for improved standardization of breast dynamic contrast-enhanced MRI acquisition. AJR Am J Roentgenol 193(3):832–839
2. Mann RM, Kuhl CK, Moy L (2019) Contrast-enhanced MRI for breast cancer screening. J Magn Reson Imaging 50(2):377–390
3. Dietzel M, Trimboli RM, Zanardo M et al (2022) The potential of predictive and prognostic breast MRI (P2-bMRI). Eur Radiol Exp 6(1):42
4. Koh D-M, Papanikolaou N, Bick U et al (2022) Artificial intelligence and machine learning in cancer imaging. Commun Med (Lond) 2(1):133
5. Saha A, Harowicz MR, Grimm LJ et al (2018) A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features. Br J Cancer 119(4):508–516
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