http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36460275

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issn 2046-6390
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bibliographicCitation Luchian A, Cepeda KT, Harwood R, Murray P, Wilm B, Kenny S, Pregel P, Ressel L. Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology. Biol Open. 2023 Sep 15;12(9). PMID: 37642317; PMCID: PMC10537956.
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title Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology
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