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

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 interpretation....

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xiang, Wang, Rui, Zhu, Zemin, Wang, Kexin, Gao, Yue, Li, Jialun, Zhang, Yaofeng, Wang, Xiangpeng, Zhang, Xiaodong, Wang, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730687/
https://www.ncbi.nlm.nih.gov/pubmed/36476181
http://dx.doi.org/10.1186/s12885-022-10366-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730687/
https://www.ncbi.nlm.nih.gov/pubmed/36476181
http://dx.doi.org/10.1186/s12885-022-10366-0

Ejemplares similares