Advances in kidney biopsy lesion assessment through dense instance segmentation
Artificial Intelligence in Medicine, vol. 164, pp. 103111
Authors 7
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Zhan Xiong Aachen
Affiliation as printed
LIACS, Leiden University, Snellius Gebouw, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands
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Leiden University Medical Center
Affiliation as printed
Department of Pathology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
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Amsterdam University Medical Centers · University of Amsterdam
Affiliation as printed
Department of Pathology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
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University Medical Center Utrecht
Affiliation as printed
Department of Pathology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Universitair Ziekenhuis Leuven · KU Leuven
Affiliation as printed
Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium; Department of Microbiology, Immunology, and Transplantation, KU Leuven, Oude Markt 13, 3000, Leuven, Belgium
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Jesper Kers Aachen
Leiden University Medical Center · Amsterdam University Medical Centers · University of Amsterdam
Affiliation as printed
Department of Pathology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands; Department of Pathology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands; Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands
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Affiliation as printed
LIACS, Leiden University, Snellius Gebouw, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands. Electronic address: f.j.verbeek@liacs.leidenuniv.nl
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