BibTeX
@article{johnson_automated_2024,
title = {Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods},
volume = {49},
copyright = {All rights reserved},
issn = {2366-0058},
shorttitle = {Automated prostate gland segmentation in challenging clinical cases},
url = {https://doi.org/10.1007/s00261-024-04242-7},
doi = {10.1007/s00261-024-04242-7},
language = {en},
number = {5},
urldate = {2024-11-18},
journal = {Abdominal Radiology},
author = {Johnson, L. A. and Harmon, S. A. and Yilmaz, E. C. and Lin, Y. and Belue, M. J. and Merriman, K. M. and Lay, N. S. and Sanford, T. H. and Sarma, K. V. and Arnold, C. W. and Xu, Z. and Roth, H. R. and Yang, D. and Tetreault, J. and Xu, D. and Patel, K. R. and Gurram, S. and Wood, B. J. and Citrin, D. E. and Pinto, P. A. and Choyke, P. L. and Turkbey, B.},
month = may,
year = {2024},
pages = {1545--1556},
}