Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Registration of Histopathogy Images Using Structural Information From
  Fine Grained Feature Maps   Registration is an important part of many clinical workflows and factually,
including information of structures of interest improves registration
performance. We propose a novel approach of combining segmentation information
in a registration framework using self supervised segmentation feature maps
extracted using a pre-trained segmentation network followed by clustering.
Using self supervised feature maps enables us to use segmentation information
despite the unavailability of manual segmentations. Experimental results show
our approach effectively replaces manual segmentation maps and demonstrate the
possibility of obtaining state of the art registration performance in real
world cases where manual segmentation maps are unavailable.

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The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ