Esophageal epithelium modeling based on globally coupled map: an approach toward precancerous lesion diagnosis.
Esophageal squamous cell carcinoma is the most predominant malignancy of the esophagus. Its histological precursors (dysplasia) emerge in the esophageal epithelium that their progression into the underlying layers leads to cancer. The epithelium is the origin of many solid cancers and, accordingly,...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 6; pp. 1297 - 1309 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2020
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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=143136814&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143136814 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2020 vid: 58 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 143136814 143136814 NLM32239347 10.1007/s11517-020-02151-7 NLM32239347 143136814 ppf: 1297 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Esophageal epithelium modeling based on globally coupled map: an approach toward precancerous lesion diagnosis. aug: au: Hosseini, Zahra Sadat Hashemi Golpayegani, Seyed Mohammad Reza affil: Complex Systems and Cybernetic Control Lab, Biomedical Engineering Department, Amirkabir University of Technology, P.O. Box 1591634311, Tehran, Iran sug: subj: Image Processing, Computer Assisted Methods Esophagus Pathology Esophagoscopy Methods Precancerous Conditions Pathology Precancerous Conditions ROC Curve Models, Biological Epithelium Pathology Esophageal Neoplasms Pathology Esophageal Neoplasms Esophagus Scales Arthritis Impact Measurement Scales ab: Esophageal squamous cell carcinoma is the most predominant malignancy of the esophagus. Its histological precursors (dysplasia) emerge in the esophageal epithelium that their progression into the underlying layers leads to cancer. The epithelium is the origin of many solid cancers and, accordingly, the focus of numerous computational models. In this work, we proposed a framework to establish a two-dimensional, globally coupled map to model the epithelium dynamics. The model aims at diagnosing the early stage of dysplasia based on microscopic images of endoscopic biopsies. We used the logistic map as a black-box model for the epithelial cells. By relating between the structure and dynamic of the epithelium, we defined the coupling function and proposed a case-dependent model in which the parameters were adjusted based on fractal geometry of each pathological image. Thus, by assigning different attractors to the cells' behavior, the lattice dynamic was investigated by the Lyapunov exponent. The decreasing pattern of Lyapunov exponent variations across the epithelium thickness had reasonable performance in diagnosing the normal specimens from the low-grade dysplasia ones. The results showed that there could be a direct relationship between the structural complexity of this system and its uncertainty of dynamics. Graphical abstract The modeling process of the esophageal epithelium to classify the experimental data at normal and LGD stages. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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