Automatic computer aided analysis algorithms and system for adrenal tumors on CT images.
Background: The adrenal tumor will disturb the secreting function of adrenocortical cells, leading to many diseases. Different kinds of adrenal tumors require different therapeutic schedules.Objective: In the practical diagnosis, it highly relies on the doctor's experience to judge the tumor type by...
| Publicado en: | Technology & Health Care Vol. 25; no. 6; pp. 1105 - 1119 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
2017
|
| 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=126780820&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126780820 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09287329 3QT jtl: Technology & Health Care issn: 09287329 maglogo: N pubinfo: dt: 2017 vid: 25 iid: 6 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 126780820 126780820 NLM28800344 10.3233/THC-160597 NLM28800344 126780820 ppf: 1105 ppct: 14 formats: tig: atl: Automatic computer aided analysis algorithms and system for adrenal tumors on CT images. aug: au: Hanchao Chaia Yi Guoa Yuanyuan Wanga Guohui Zhou Chai, Hanchao Guo, Yi Wang, Yuanyuan Zhou, Guohui affil: Department of Electronic Engineering, Fudan University, Shanghai, China sug: subj: Algorithms Adrenal Gland Neoplasms Pathology Tomography, X-Ray Computed Methods Adrenal Gland Neoplasms Radiographic Image Interpretation, Computer-Assisted Methods Reproducibility of Results ab: Background: The adrenal tumor will disturb the secreting function of adrenocortical cells, leading to many diseases. Different kinds of adrenal tumors require different therapeutic schedules.Objective: In the practical diagnosis, it highly relies on the doctor's experience to judge the tumor type by reading the hundreds of CT images.Methods: This paper proposed an automatic computer aided analysis method for adrenal tumors detection and classification. It consisted of the automatic segmentation algorithms, the feature extraction and the classification algorithms. These algorithms were then integrated into a system and conducted on the graphic interface by using MATLAB Graphic user interface (GUI).Results: The accuracy of the automatic computer aided segmentation and classification reached 90% on 436 CT images.Conclusion: The experiments proved the stability and reliability of this automatic computer aided analytic system. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|