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...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2018-01-01
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| Series: | Journal of Cytology |
| Subjects: | |
| Online Access: | http://www.jcytol.org/article.asp?issn=0970-9371;year=2018;volume=35;issue=2;spage=71;epage=74;aulast=Sanyal |
| _version_ | 1828352171407572992 |
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| author | Parikshit Sanyal Prosenjit Ganguli Sanghita Barui Prabal Deb |
| author_facet | Parikshit Sanyal Prosenjit Ganguli Sanghita Barui Prabal Deb |
| author_sort | Parikshit Sanyal |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T01:50:09Z |
| format | Article |
| id | doaj.art-d776fc68f7f740ef9bbf81e8a5eca59f |
| institution | Directory Open Access Journal |
| issn | 0970-9371 |
| language | English |
| last_indexed | 2024-04-14T01:50:09Z |
| publishDate | 2018-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Cytology |
| spelling | doaj.art-d776fc68f7f740ef9bbf81e8a5eca59f2022-12-22T02:19:23ZengWolters Kluwer Medknow PublicationsJournal of Cytology0970-93712018-01-01352717410.4103/JOC.JOC_110_17Pilot study of an open-source image analysis software for automated screening of conventional cervical smearsParikshit SanyalProsenjit GanguliSanghita BaruiPrabal DebIntroduction: 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.http://www.jcytol.org/article.asp?issn=0970-9371;year=2018;volume=35;issue=2;spage=71;epage=74;aulast=SanyalAutomated screeningcervical cytologyimage analysispap smear |
| spellingShingle | Parikshit Sanyal Prosenjit Ganguli Sanghita Barui Prabal Deb Pilot study of an open-source image analysis software for automated screening of conventional cervical smears Journal of Cytology Automated screening cervical cytology image analysis pap smear |
| title | Pilot study of an open-source image analysis software for automated screening of conventional cervical smears |
| title_full | Pilot study of an open-source image analysis software for automated screening of conventional cervical smears |
| title_fullStr | Pilot study of an open-source image analysis software for automated screening of conventional cervical smears |
| title_full_unstemmed | Pilot study of an open-source image analysis software for automated screening of conventional cervical smears |
| title_short | Pilot study of an open-source image analysis software for automated screening of conventional cervical smears |
| title_sort | pilot study of an open source image analysis software for automated screening of conventional cervical smears |
| topic | Automated screening cervical cytology image analysis pap smear |
| url | http://www.jcytol.org/article.asp?issn=0970-9371;year=2018;volume=35;issue=2;spage=71;epage=74;aulast=Sanyal |
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