Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CapsDeMM: Capsule network for Detection of Munro's Microabscess in skin
  biopsy images   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-a-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
https://github.com/Anabik/CapsDeMM.

36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat