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"From quantitative metrics to clinical success: assessing the utility of ..."

Chris Yeung et al. (2024)

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DOI: 10.1007/S11548-024-03133-Y

access: closed

type: Journal Article

metadata version: 2024-07-04

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  - journals/cars/YeungUHJKWMEJRMF24
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  - https://dblp.org/rec/journals/cars/YeungUHJKWMEJRMF24
Chris Yeung, Tamas Ungi, Zoe Hu, Amoon Jamzad, Martin Kaufmann, Ross Walker, Shaila Merchant, Cecil Jay Engel, Doris Jabs, John F. Rudan, Parvin Mousavi, Gabor Fichtinger:
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1193-1201 (2024)

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