A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development

Author:

Ai Shiliang1ORCID,Li Chen1ORCID,Li Xiaoyan2ORCID,Jiang Tao3,Grzegorzek Marcin4,Sun Changhao145ORCID,Rahaman Md Mamunur1ORCID,Zhang Jinghua14ORCID,Yao Yudong6ORCID,Li Hong1

Affiliation:

1. Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China

2. Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, China

3. Control Engineering College, Chengdu University of Information Technology, Chengdu 610103, China

4. Institute of Medical Informatics, University of Luebeck, Luebeck, Germany

5. Shenyang Institute of Automation, Chinese Academy of Sciences, 110169, China

6. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA

Abstract

Gastric cancer is a common and deadly cancer in the world. The gold standard for the detection of gastric cancer is the histological examination by pathologists, where Gastric Histopathological Image Analysis (GHIA) contributes significant diagnostic information. The histopathological images of gastric cancer contain sufficient characterization information, which plays a crucial role in the diagnosis and treatment of gastric cancer. In order to improve the accuracy and objectivity of GHIA, Computer-Aided Diagnosis (CAD) has been widely used in histological image analysis of gastric cancer. In this review, the CAD technique on pathological images of gastric cancer is summarized. Firstly, the paper summarizes the image preprocessing methods, then introduces the methods of feature extraction, and then generalizes the existing segmentation and classification techniques. Finally, these techniques are systematically introduced and analyzed for the convenience of future researchers.

Funder

China Scholarship Council

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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