Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology
  Microscopy Images   An accurate steatosis quantification with pathology tissue samples is of high
clinical importance. However, such pathology measurement is manually made in
most clinical practices, subject to severe reader variability due to large
sampling bias and poor reproducibility. Although some computerized automated
methods are developed to quantify the steatosis regions, they present limited
analysis capacity for high resolution whole-slide microscopy images and
accurate overlapped steatosis division. In this paper, we propose a method that
extracts an individual whole tissue piece at high resolution with minimum
background area by estimating tissue bounding box and rotation angle. This is
followed by the segmentation and segregation of steatosis regions with high
curvature point detection and an ellipse fitting quality assessment method. We
validate our method with isolated and overlapped steatosis regions in liver
tissue images of 11 patients. The experimental results suggest that our method
is promising for enhanced support of steatosis quantization during the
pathology review for liver disease treatment.

36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys