Detail publikace

Grading of Colorectal Cancer using Histology images

SENGAR, N. MISHRA, N. DUTTA, M. BURGET, R. PŘINOSIL, J.

Originální název

Grading of Colorectal Cancer using Histology images

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents an automated system for grading of colorectal cancer using image processing method. About, half a million people die every year due to colon cancer. Histopathological tissue analysis is a common method of its detection, which needs an expert pathologist. Screening for this cancer is effective for prevention as well as early detection. This proposed method segments the glands automatically by using intensity based thresholding and using organizational properties for classification. In existing literature, the majority of studies focus on gland segmentation in healthy or benign samples, but rarely on intermediate or high grade cancer. Unlike most of existing methods this system is fully automated and grades the images as benign healthy, benign adenomatous, moderately differentiated malignant and poorly differentiated malignant. The proposed method achieves overall accuracy of 81% when tested on 165 histology images

Klíčová slova

colorectal cancer; histology image; image processing

Autoři

SENGAR, N.; MISHRA, N.; DUTTA, M.; BURGET, R.; PŘINOSIL, J.

Vydáno

27. 6. 2016

Místo

Vieanna, Austria

ISBN

978-1-5090-1287-9

Kniha

2016 39th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

529

Strany do

532

Strany počet

4

URL

https://ieeexplore.ieee.org/document/7760936

BibTex

@inproceedings{BUT128334,
  author="Namita {Sengar} and Neeraj {Mishra} and Malay Kishore {Dutta} and Jiří {Přinosil} and Radim {Burget}",
  title="Grading of Colorectal Cancer using Histology images",
  booktitle="2016 39th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2016",
  pages="529--532",
  address="Vieanna, Austria",
  doi="10.1109/TSP.2016.7760936",
  isbn="978-1-5090-1287-9",
  url="https://ieeexplore.ieee.org/document/7760936"
}