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Deep learning-based morphological analysis of human sperm.

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Bibliographic Details
Title: Deep learning-based morphological analysis of human sperm.
Authors: Xu, Yiran1, Chen, Yuqiu1, Zhang, Boxuan1, Yan, Yimo1, Liao, Hongen1, liao@tsinghua.edu.cn, Liu, Ran1, liuran@tsinghua.edu.cn
Source: Medical & Biological Engineering & Computing; Jan2026, Vol. 64 Issue 1, p49-59, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191328337
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Deep learning-based morphological analysis of human sperm.
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  Data: <searchLink fieldCode="AU" term="%22Xu%2C+Yiran%22">Xu, Yiran</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Yuqiu%22">Chen, Yuqiu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Boxuan%22">Zhang, Boxuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yan%2C+Yimo%22">Yan, Yimo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liao%2C+Hongen%22">Liao, Hongen</searchLink><relatesTo>1</relatesTo>, <i>liao@tsinghua.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Ran%22">Liu, Ran</searchLink><relatesTo>1</relatesTo>, <i>liuran@tsinghua.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Jan2026, Vol. 64 Issue 1, p49-59, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191328337
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s11517-025-03418-7
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 49
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      – TitleFull: Deep learning-based morphological analysis of human sperm.
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            NameFull: Xu, Yiran
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            NameFull: Chen, Yuqiu
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            NameFull: Zhang, Boxuan
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            NameFull: Yan, Yimo
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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