A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development.
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 gast...
| Publicado en: | BioMed Research International pp. 1 - 20 |
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| Autores principales: | , , , , , , , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/28/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151120612&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151120612 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/28/2021 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 151120612 151120612 151120612 10.1155/2021/6671417 151120612 ppf: 1 ppct: 19 formats: fmt: @attributes: type: P tig: atl: A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development. aug: au: Ai, Shiliang Li, Chen Li, Xiaoyan Jiang, Tao Grzegorzek, Marcin Sun, Changhao Rahaman, Md Mamunur Zhang, Jinghua Yao, Yudong Li, Hong affil: Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China sug: subj: Stomach Neoplasms Diagnosis Diagnosis, Computer Assisted Image Processing, Computer Assisted Histological Techniques Pathologists ab: 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. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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