Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology

• Andreea Luchian,
• Katherine Trivino Cepeda,
• Rachel Harwood,
• Patricia Murray,
• Bettina Wilm,
• Simon Kenny,
• Paola Pregel,
• Lorenzo Ressel

Affiliations

Andreea Luchian

Department of Veterinary Anatomy Physiology and Pathology, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, CH64 7TE, UK

Katherine Trivino Cepeda

Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7BE, UK

Rachel Harwood

Department of Paediatric Surgery, Alder Hey in the Park, Liverpool, L14 5AB, UK

Patricia Murray

Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7BE, UK

Bettina Wilm

Department of Molecular Physiology and Cell Signalling, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7BE, UK

Simon Kenny

Department of Paediatric Surgery, Alder Hey in the Park, Liverpool, L14 5AB, UK

Paola Pregel

Department of Veterinary Sciences, University of Turin, Turin, 8-10124, Italy

Lorenzo Ressel

Department of Veterinary Anatomy Physiology and Pathology, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, CH64 7TE, UK