Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer.

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Bibliographic Details
Title: Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer.
Authors: Sun J; Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jin'an District, Fuzhou, Fujian, 350014, China., Wu PY; GE Healthcare, Beijing, China., Shen F; Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jin'an District, Fuzhou, Fujian, 350014, China., Chen X; Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jin'an District, Fuzhou, Fujian, 350014, China., She J; Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China., Luo M; Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China., Feng F; Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jin'an District, Fuzhou, Fujian, 350014, China., Zheng D; Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jin'an District, Fuzhou, Fujian, 350014, China. dechun.zheng@139.com.
Source: BMC medical imaging [BMC Med Imaging] 2025 May 19; Vol. 25 (1), pp. 173. Date of Electronic Publication: 2025 May 19.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1471-2342
DOI:10.1186/s12880-025-01692-3