CapsDeMM: Capsule Network for Detection of Munro’s Microabscess in Skin Biopsy Images

  • Anabik PalEmail author
  • Akshay Chaturvedi
  • Utpal Garain
  • Aditi Chandra
  • Raghunath Chatterjee
  • Swapan Senapati
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11071)


This paper presents an approach for automatic detection of Munro’s Microabscess in stratum corneum (SC) of human skin biopsy in order to realize a machine assisted diagnosis of Psoriasis. The challenge of detecting neutrophils in presence of nucleated cells is solved using the recent advances of deep learning algorithms. Separation of SC layer, extraction of patches from the layer followed by classification of patches with respect to presence or absence of neutrophils form the basis of the overall approach which is effected through an integration of a U-Net based segmentation network and a capsule network for classification. The novel design of the present capsule net leads to a drastic reduction in the number of parameters without any noticeable compromise in the overall performance. The research further addresses the challenge of dealing with Mega-pixel images (in 10X) vis-à-vis Giga-pixel ones (in 40X). The promising result coming out of an experiment on a dataset consisting of 273 real-life images shows that a practical system is possible based on the present research. The implementation of our system is available at


Psoriasis histopathology Biopsy image Neutrophil Munro’s microabscess Stratum corneum Convolutional neural network Capsule network Super-pixel Segmentation Evaluation Dataset 



Authors would like to acknowledge all volunteers who participated in this study.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Anabik Pal
    • 1
    Email author
  • Akshay Chaturvedi
    • 1
  • Utpal Garain
    • 1
  • Aditi Chandra
    • 2
  • Raghunath Chatterjee
    • 2
  • Swapan Senapati
    • 3
  1. 1.CVPR UnitIndian Statistical UnitKolkataIndia
  2. 2.Human Genetics UnitIndian Statistical UnitKolkataIndia
  3. 3.Consultant DermatologistHooghlyIndia

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