Pilot Study of an Open-source Image Analysis Software for Automated Screening of Conventional Cervical Smears.
Introduction: The Pap stained cervical smear is a screening tool for cervical cancer. Commercial systems are used for automated screening of liquid based cervical smears. However, there is no image analysis software used for conventional cervical smears. The aim of this study was to develop and test...
| Publicado en: | Journal of Cytology Vol. 35; no. 2; pp. 71 - 75 |
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| Autores principales: | , , , |
| Formato: | algorithm pictorial research tables/charts Journal Article |
| Publicado: |
Wolters Kluwer India Pvt Ltd
Apr-Jun2018
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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=128658257&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128658257 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09709371 58DU jtl: Journal of Cytology issn: 09709371 maglogo: N pubinfo: dt: Apr-Jun2018 vid: 35 iid: 2 pid: 16919 pub: Wolters Kluwer India Pvt Ltd artinfo: ui: 128658257 128658257 128658257 10.4103/JOC.JOC_110_17 128658257 ppf: 71 ppct: 4 formats: tig: atl: Pilot Study of an Open-source Image Analysis Software for Automated Screening of Conventional Cervical Smears. aug: au: Sanyal, Parikshit Ganguli, Prosenjit Barui, Sanghita Deb, Prabal affil: Department of Pathology, Command Hospital (EC), Alipore, Kolkata, West Bengal sug: subj: Image Processing, Computer Assisted Software Automation Cancer Screening Cervix Neoplasms Diagnosis Pilot Studies Cervical Smears Evaluation Validity Human Descriptive Statistics Cell Nucleus Cytoplasm Neutrophils Programming Languages Software Design Validation Studies Female Female ab: Introduction: The Pap stained cervical smear is a screening tool for cervical cancer. Commercial systems are used for automated screening of liquid based cervical smears. However, there is no image analysis software used for conventional cervical smears. The aim of this study was to develop and test the diagnostic accuracy of a software for analysis of conventional smears. Materials and Methods: The software was developed using Python programming language and open source libraries. It was standardized with images from Bethesda Interobserver Reproducibility Project. One hundred and thirty images from smears which were reported Negative for Intraepithelial Lesion or Malignancy (NILM), and 45 images where some abnormality has been reported, were collected from the archives of the hospital. The software was then tested on the images. Results: The software was able to segregate images based on overall nuclear: cytoplasmic ratio, coefficient of variation (CV) in nuclear size, nuclear membrane irregularity, and clustering. 68.88% of abnormal images were flagged by the software, as well as 19.23% of NILM images. The major difficulties faced were segmentation of overlapping cell clusters and separation of neutrophils. Conclusion: The software shows potential as a screening tool for conventional cervical smears; however, further refinement in technique is required. pubtype: Academic Journal doctype: algorithm pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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