Evaluation of a fusion model combining deep learning models based on enhanced CT images with radiological and clinical features in distinguishing lipid-poor adrenal adenoma from metastatic lesions.

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Title: Evaluation of a fusion model combining deep learning models based on enhanced CT images with radiological and clinical features in distinguishing lipid-poor adrenal adenoma from metastatic lesions.
Authors: Wang SC; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China., Yin SN; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China., Wang ZY; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China., Ding N; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China., Ji YD; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China., Jin L; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China. 402588941@qq.com.
Source: BMC medical imaging [BMC Med Imaging] 2025 Jul 01; Vol. 25 (1), pp. 219. Date of Electronic Publication: 2025 Jul 01.
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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ISSN:1471-2342
DOI:10.1186/s12880-025-01798-8