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Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.

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Title: Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.
Authors: Jegannathan N; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore., Zhang X; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore., Seow JX; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore., Zhou M; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore., Wang L; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore., Goh GL; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore., Heng SY; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore., Ng TR; Ministry of Health Holdings, Singapore 139691, Singapore., Goh RSM; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore., Fu H; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore., Liu Y; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore., Cheng LT; Department of Cardiothoracic and Abdominal Radiology, Singapore General Hospital, Singapore 169608, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore., Goh GBB; Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore 169608, Singapore., Tai D; HistoIndex Pte., Ltd., Singapore 117674, Singapore., Cheng CL; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore., Wan WK; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore., Lim TKH; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore., Khor LY; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore., Leow WQ; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore.
Source: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2026 Jun 12; Vol. 16 (12). Date of Electronic Publication: 2026 Jun 12.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.
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  Data: <searchLink fieldCode="AU" term="%22Jegannathan+N%22">Jegannathan N</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.<br /><searchLink fieldCode="AU" term="%22Seow+JX%22">Seow JX</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.<br /><searchLink fieldCode="AU" term="%22Zhou+M%22">Zhou M</searchLink>; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.<br /><searchLink fieldCode="AU" term="%22Wang+L%22">Wang L</searchLink>; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.<br /><searchLink fieldCode="AU" term="%22Goh+GL%22">Goh GL</searchLink>; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.<br /><searchLink fieldCode="AU" term="%22Heng+SY%22">Heng SY</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.<br /><searchLink fieldCode="AU" term="%22Ng+TR%22">Ng TR</searchLink>; Ministry of Health Holdings, Singapore 139691, Singapore.<br /><searchLink fieldCode="AU" term="%22Goh+RSM%22">Goh RSM</searchLink>; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.<br /><searchLink fieldCode="AU" term="%22Fu+H%22">Fu H</searchLink>; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.<br /><searchLink fieldCode="AU" term="%22Cheng+LT%22">Cheng LT</searchLink>; Department of Cardiothoracic and Abdominal Radiology, Singapore General Hospital, Singapore 169608, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore.<br /><searchLink fieldCode="AU" term="%22Goh+GBB%22">Goh GBB</searchLink>; Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore 169608, Singapore.<br /><searchLink fieldCode="AU" term="%22Tai+D%22">Tai D</searchLink>; HistoIndex Pte., Ltd., Singapore 117674, Singapore.<br /><searchLink fieldCode="AU" term="%22Cheng+CL%22">Cheng CL</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.<br /><searchLink fieldCode="AU" term="%22Wan+WK%22">Wan WK</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.<br /><searchLink fieldCode="AU" term="%22Lim+TKH%22">Lim TKH</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore.<br /><searchLink fieldCode="AU" term="%22Khor+LY%22">Khor LY</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore.<br /><searchLink fieldCode="AU" term="%22Leow+WQ%22">Leow WQ</searchLink>; Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore.; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.; Duke-NUS Medical School, Singapore 169857, Singapore.
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  Data: <searchLink fieldCode="JN" term="%22101658402%22">Diagnostics (Basel, Switzerland)</searchLink> [Diagnostics (Basel)] 2026 Jun 12; Vol. 16 (12). <i>Date of Electronic Publication: </i>2026 Jun 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101658402 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2075-4418 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220754418%22">20754418 </searchLink><i>NLM ISO Abbreviation: </i>Diagnostics (Basel) <i>Subsets: </i>PubMed not MEDLINE
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      – TitleFull: Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.
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              Text: 2026 Jun 12
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