APA (7th ed.) Citation

Xiao, Q., Tozaki, M., Sasaki, M., Fujisawa, Y., Chiba, H., Sagara, Y., & Ohyu, S. (2022). Combined Use of Texture Features and Morphological Classification Based on Dynamic Contrast-enhanced MR Imaging: Differentiating Benign and Malignant Breast Masses with High Negative Predictive Value. Magnetic Resonance in Medical Sciences, 21(3), 485-498. https://doi.org/10.2463/mrms.mp.2020-0160

Chicago Style (17th ed.) Citation

Xiao, Qilin, Mitsuhiro Tozaki, Michiro Sasaki, Yasuko Fujisawa, Hisae Chiba, Yoshiaki Sagara, and Shigeharu Ohyu. "Combined Use of Texture Features and Morphological Classification Based on Dynamic Contrast-enhanced MR Imaging: Differentiating Benign and Malignant Breast Masses with High Negative Predictive Value." Magnetic Resonance in Medical Sciences 21, no. 3 (2022): 485-498. https://doi.org/10.2463/mrms.mp.2020-0160.

MLA (9th ed.) Citation

Xiao, Qilin, et al. "Combined Use of Texture Features and Morphological Classification Based on Dynamic Contrast-enhanced MR Imaging: Differentiating Benign and Malignant Breast Masses with High Negative Predictive Value." Magnetic Resonance in Medical Sciences, vol. 21, no. 3, 2022, pp. 485-498, https://doi.org/10.2463/mrms.mp.2020-0160.