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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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Wang+SC%22">Wang SC</searchLink>; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China.<br /><searchLink fieldCode="AU" term="%22Yin+SN%22">Yin SN</searchLink>; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China.<br /><searchLink fieldCode="AU" term="%22Wang+ZY%22">Wang ZY</searchLink>; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China.<br /><searchLink fieldCode="AU" term="%22Ding+N%22">Ding N</searchLink>; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China.<br /><searchLink fieldCode="AU" term="%22Ji+YD%22">Ji YD</searchLink>; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China.<br /><searchLink fieldCode="AU" term="%22Jin+L%22">Jin L</searchLink>; Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, SuZhou, JiangSu province, 215200, China. 402588941@qq.com.
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              Text: 2025 Jul 01
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