Academic Journal

Human–machine collaborative risk assessment model for thyroid nodules based on local attention and multi-scale feature extraction: a multi-center clinical study

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Τίτλος: Human–machine collaborative risk assessment model for thyroid nodules based on local attention and multi-scale feature extraction: a multi-center clinical study
Συγγραφείς: Liu, ShunlanAff1, Yang, YangAff2, Cai, MingliAff3, Xu, ZhirongAff1, He, ShaozhengAff1, Su, QichenAff1, Liu, PeizhongAff2, IDs12020025042789_cor1, Lyu, GuorongAff1, IDs12020025042789_cor2
Πηγή: Endocrine: International Journal of Basic and Clinical Endocrinology. 89(3):772-780
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s12020-025-04278-9
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Human–machine collaborative risk assessment model for thyroid nodules based on local attention and multi-scale feature extraction: a multi-center clinical study
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  Data: <i>Endocrine: International Journal of Basic and Clinical Endocrinology</i>. 89(3):772-780
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      – Type: doi
        Value: 10.1007/s12020-025-04278-9
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      – Text: English
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        PageCount: 9
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      – TitleFull: Human–machine collaborative risk assessment model for thyroid nodules based on local attention and multi-scale feature extraction: a multi-center clinical study
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            NameFull: Liu, Shunlan
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            NameFull: Cai, Mingli
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            NameFull: Xu, Zhirong
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            NameFull: He, Shaozheng
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            NameFull: Su, Qichen
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            NameFull: Liu, Peizhong
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            – D: 01
              M: 09
              Type: published
              Y: 2025
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            – TitleFull: Endocrine: International Journal of Basic and Clinical Endocrinology
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