Automatic segmentation of hepatic metastases on DWI images based on a deep learning method: assessment of tumor treatment response according to the RECIST 1.1 criteria

Automatic segmentation of hepatic metastases on DWI images based on a deep learning method: assessment of tumor treatment response according to the RECIST 1.1 criteria

Abstract Background Evaluation of treated tumors according to Response Evaluation Criteria in Solid Tumors (RECIST) criteria is an important but time-consuming task in medical imaging. Deep learning methods are expected to automate the evaluation process and improve the efficiency of imaging interpr...

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Bibliographic Details
Main Authors: Xiang Liu, Rui Wang, Zemin Zhu, Kexin Wang, Yue Gao, Jialun Li, Yaofeng Zhang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Cancer
Subjects:
Deep learning
RECIST 1.1 criteria
Liver metastases
DWI
Online Access:https://doi.org/10.1186/s12885-022-10366-0

Internet

https://doi.org/10.1186/s12885-022-10366-0

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