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Shengnan Yin

As seen in: Wiley Online Library, Frontiers, MDPI, Royal Society of Chemistry, Dove Medical Press
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Articles

Habitat-radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study

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By Shengnan Yin, Ning Ding, Chuqi Yang, Shaocai Wang, Mengjuan Li, Yiding Ji, tong liu, Long Jin
| Frontiers
Abstract Background: The qualitative diagnosis of lipid-poor adrenal adenomas and metastases presents challenges, yet there is a significant difference in their treatment principles and prognosis. Materials and methods: A total of 390 patients from two hospitals were divided into training, internal validation, and external test sets. Lesion segmentation was performed automatically using the large segmentation model Medical SAM.
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A Smartphone-Assisted Ratiometric Fluorescence and Colorimetric Dual-Mode Hydrogel Sensor for On-Site and Visual Detection of Formaldehyde in Indoor Air Phase Based on the Cu-MOFs-Eu 3+ -GMP/OPD Composite Catalysis Click to copy article link Article link

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By Shengnan Yin, Changlun Tong
| dx.doi.org
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Nitrogen‐Doped Carbon Dots‐Eu3+‐Tetracycline as a Ratiometric Fluorescence Probe for Turn “Off-On” Determination of Pyrophosphate and Alkaline Phosphatase Activity - Yin - 2026 - Luminescence - Wiley Online Library

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By Shengnan Yin, Safety Zhejiang Hangzhou, Changlun Tong
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Data will be made available on request. Supporting Information Filename Description bio70417-sup-0001-Supporting_Information.docWord document, 165 KB Figure S1: C 1s (A), N 1s (B), and O 1s (C) XPS spectra of N-CDs. Figure S2: Adsorption spectra (A) and fluorescence spectra (B) of different systems.
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