Proceedings of the 2016 International Conference on Biomedical and Biological Engineering

A Novel Method of HCC Pathological Images Recognition based on Morphological Distribution of Liver Cell Cords

Authors
Aoshuang Dong, Su Jiang, Huiyan Jiang, Keming Mao
Corresponding Author
Aoshuang Dong
Available Online July 2016.
DOI
https://doi.org/10.2991/bbe-16.2016.76How to use a DOI?
Keywords
Liver Cell Cords, HCC, Pattern Recognition, Pathological Image.
Abstract
The morbidity of hepatocellular carcinoma (HCC), which has become a significant killer to human life, is getting higher over the years. Not only the shape and structure of liver cells are abnormal in pathological images, but also liver cell cords show some unusual phenomena, such as incrassation and disorder. So our paper proposes a novel method of HCC pathological images recognition based on morphological distribution of liver cell cords, to assist pathologist to diagnose hepatic pathology. In the method, we firstly apply binarization and morphological operation to hepatic pathological images, and screen connected regions with their area and circularity. Adopted regions are considered as candidate centers of liver cell cords (vein center). Secondly we define different features (irregularity feature), according to the number of candidate centers in a pathological image, to recognize how structured liver cell cords are. Finally, we utilize the feature and classifier to identify HCC pathological images. The experiments indicate that the proposed method shows high accuracy of all HCC pathological images in well, moderately, poorly differentiated and normal forms.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Biomedical and Biological Engineering
Part of series
Advances in Biological Sciences Research
Publication Date
July 2016
ISBN
978-94-6252-216-9
ISSN
2468-5747
DOI
https://doi.org/10.2991/bbe-16.2016.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Aoshuang Dong
AU  - Su Jiang
AU  - Huiyan Jiang
AU  - Keming Mao
PY  - 2016/07
DA  - 2016/07
TI  - A Novel Method of HCC Pathological Images Recognition based on Morphological Distribution of Liver Cell Cords
BT  - International Conference on Biomedical and Biological Engineering
PB  - Atlantis Press
SP  - 482
EP  - 493
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-16.2016.76
DO  - https://doi.org/10.2991/bbe-16.2016.76
ID  - Dong2016/07
ER  -