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This study proposes a hyperspectral\u2013deep\u2010learning fusion framework integrating spectral and spatial features for rapid, label\u2010free diagnosis. Using Savitzky\u2013Golay\u2010filtered hyperspectral data (400\u20131000\u2009nm) and a lightweight dual\u2010branch convolutional network, the model achieved an AUC of 0.96 and an accuracy of 92.8%. Mutual information\u2010based band selection and mid\u2010level feature fusion enhanced efficiency, while Grad\u2010CAM and spectral sensitivity analyses revealed interpretable wavelength\u2013feature associations corresponding to lipid and hemoglobin absorption. The proposed system demonstrates strong potential for real\u2010time, interpretable intraoperative discrimination between cortical and medullary adrenal tumors, supporting precision endocrine surgery.<\/jats:p>","DOI":"10.1002\/jbio.70227","type":"journal-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T01:06:47Z","timestamp":1770167207000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Hyperspectral\u2013Deep\u2010Learning Fusion for Rapid Differentiation of Adrenocortical Tumors and Pheochromocytomas"],"prefix":"10.1002","volume":"19","author":[{"given":"Yangyang","family":"He","sequence":"first","affiliation":[{"name":"Zibo Central Hospital  Zibo China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojie","family":"Sun","sequence":"additional","affiliation":[{"name":"Zibo Central Hospital  Zibo China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingwen","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Medical and Bioinformatics Engineering Northeastern University  Shenyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Urology The First Affiliated Hospital of Shandong First Medical University &amp; 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