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Open Access
Peer-reviewed
Research Article
Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules
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Satoshi Hara ,
Contributed equally to this work with: Satoshi Hara, Emi Haneda
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Visualization, Writing – original draft
Affiliations Medical Education Research Center, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan, Department of Rheumatology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
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Emi Haneda ,
Contributed equally to this work with: Satoshi Hara, Emi Haneda
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft
Affiliation School of Electrical Information Communication Engineering, College of Science and Engineering, Kanazawa University, Kanazawa, Japan
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Masaki Kawakami,
Roles Methodology, Software, Writing – review & editing
Affiliation School of Electrical Information Communication Engineering, College of Science and Engineering, Kanazawa University, Kanazawa, Japan
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Kento Morita,
Roles Methodology, Software, Writing – review & editing
Affiliation School of Electrical Information Communication Engineering, College of Science and Engineering, Kanazawa University, Kanazawa, Japan
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Ryo Nishioka,
Roles Investigation, Methodology, Writing – review & editing
Affiliation Department of Rheumatology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
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Takeshi Zoshima,
Roles Investigation, Writing – review & editing
Affiliation Department of Rheumatology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
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Mitsuhiro Kometani,
Roles Writing – review & editing
Affiliation Department of Endocrinology and Metabolism, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
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Takashi Yoneda,
Roles Writing – review & editing
Affiliations Department of Endocrinology and Metabolism, Kanazawa University Graduate School of Medicine, Kanazawa, Japan, Department of Health Promotion and Medicine of the Future, Kanazawa University Graduate School of Medicine, Kanazawa, Japan, Faculty of Transdisciplinary Sciences, Institute of Transdisciplinary Sciences, Kanazawa University, Kanazawa, Japan
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Mitsuhiro Kawano ,
Roles Supervision, Writing – review & editing
* E-mail: sk33166@gmail.com (MK); nambo@blitz.ec.t.kanazawa-u.ac.jp (HN)
Affiliation Department of Rheumatology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan
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Shigehiro Karashima,
Roles Conceptualization, Methodology, Project administration, Supervision, Writing – review & editing
Affiliation Institute of Liberal Arts and Science, Kanazawa University, Kanazawa, Japan
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Hidetaka Nambo
Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing – review & editing
* E-mail: sk33166@gmail.com (MK); nambo@blitz.ec.t.kanazawa-u.ac.jp (HN)
Affiliation School of Electrical Information Communication Engineering, College of Science and Engineering, Kanazawa University, Kanazawa, Japan
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Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules
- Satoshi Hara,
- Emi Haneda,
- Masaki Kawakami,
- Kento Morita,
- Ryo Nishioka,
- Takeshi Zoshima,
- Mitsuhiro Kometani,
- Takashi Yoneda,
- Mitsuhiro Kawano,
- Shigehiro Karashima
- Published: July 11, 2022
- https://doi.org/10.1371/journal.pone.0271161