Habitat-radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study.
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| Title: | Habitat-radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study. |
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| Authors: | Yin S; Department of Radiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China., Ding N; Department of Radiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China., Yang C; Department of Traditional Chinese Medicine, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China., Wang S; Department of Radiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China., Li M; Department of Radiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China., Ji Y; Department of Radiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China., Liu T; Department of Obstetrics and Gynecology, Xuzhou Central Hospital, Xuzhou, China., Jin L; Department of Radiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, Suzhou, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Jun 12; Vol. 17, pp. 1794301. Date of Electronic Publication: 2026 Jun 12 (Print Publication: 2026). |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2026.1794301 |
