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2018 | OriginalPaper | Chapter

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection

Authors : T. de Bel, M. Hermsen, G. Litjens, J. van der Laak

Published in: Computational Pathology and Ophthalmic Medical Image Analysis

Publisher: Springer International Publishing

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Abstract

In renal transplantation pathology, the Banff grading system is used for diagnosis. We perform a case study on the detection of immune cells in tubules, with the goal of automating part of this grading. We propose a two-step approach, in which we first perform a structure segmentation and subsequently an immune cell detection. We used a dataset of renal allograft biopsies from the Radboud University Medical Centre, Nijmegen, the Netherlands. Our modified U-net reached a Dice score of 0.85 on the structure segmentation task. The F1-score of the immune cell detection was 0.33.

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Title: Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection
Authors: T. de Bel
M. Hermsen
G. Litjens
J. van der Laak
Publisher: Springer International Publishing
Book: Computational Pathology and Ophthalmic Medical Image Analysis
Print ISBN: 978-3-030-00948-9

Electronic ISBN: 978-3-030-00949-6

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-00949-6_14

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