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Microdissection of Primary Renal Tissue Segments and Incorporation with Novel Scaffold-free Construct Technology
Published on: March 27, 2018
Multistain segmentation of renal histology: first steps toward artificial intelligence-augmented digital
Roman D Bülow1, Jesper Kers2, Peter Boor3
1Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
Abstract:
Artificial intelligence (AI), and particularly deep learning (DL), are showing great potential in improving pathology diagnostics in many aspects, 1 of which is the segmentation of histology into (diagnostically) relevant compartments. Although most current studies focus on AI and DL in oncologic pathology, an increasing number of studies explore their application to nephropathology, including the study published in this issue of Kidney International by Jayapandian et al.
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