Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets.

MLA

Yang, Ching-Juei, et al. “Clinical Application of Mask Region-Based Convolutional Neural Network for the Automatic Detection and Segmentation of Abnormal Liver Density Based on Hepatocellular Carcinoma Computed Tomography Datasets.” PLoS ONE, Aug. 2021, pp. 1–16. EBSCOhost, https://doi.org/10.1371/journal.pone.0255605.

APA

Yang, C.-J., Wang, C.-K., Fang, Y.-H. D., Wang, J.-Y., Su, F.-C., Tsai, H.-M., Lin, Y.-J., Tsai, H.-W., & Yeh, L.-R. (2021). Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets. PLoS ONE, 1–16. https://doi.org/10.1371/journal.pone.0255605

Chicago

Yang, Ching-Juei, Chien-Kuo Wang, Yu-Hua Dean Fang, Jing-Yao Wang, Fong-Chin Su, Hong-Ming Tsai, Yih-Jyh Lin, Hung-Wen Tsai, and Lee-Ren Yeh. 2021. “Clinical Application of Mask Region-Based Convolutional Neural Network for the Automatic Detection and Segmentation of Abnormal Liver Density Based on Hepatocellular Carcinoma Computed Tomography Datasets.” PLoS ONE, August, 1–16. doi:10.1371/journal.pone.0255605.