{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T12:12:43Z","timestamp":1777464763373,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Bio-Medical Materials and Engineering"],"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:p>This paper proposes a method to segment the cytoplasm in cervical cell images using graph cut-based algorithm. First, the A* channel in CIE LAB color space is extracted for contrast enhancement. Then, in order to effectively extract cytoplasm boundaries when image histograms present non-bimodal distribution, Otsu multiple thresholding is performed on the contrast enhanced image to generate initial segments, based on which the segments are refined by the multi-way graph cut method. We use 21 cervical cell images with non-ideal imaging condition to evaluate cytoplasm segmentation performance. The proposed method achieved a 93% accuracy which outperformed state-of-the-art works.<\/jats:p>","DOI":"10.3233\/bme-130912","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T14:44:08Z","timestamp":1575297848000},"page":"1125-1131","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Cytoplasm segmentation on cervical cell images using graph cut-based approach"],"prefix":"10.1177","volume":"24","author":[{"given":"Ling","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen 518060, China"},{"name":"Guangdong Key Laboratory of Biomedical Information Detection and Ultrasound Imaging, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Kong","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chien Ting","family":"Chin","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen 518060, China"},{"name":"Guangdong Key Laboratory of Biomedical Information Detection and Ultrasound Imaging, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianfu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen 518060, China"},{"name":"Guangdong Key Laboratory of Biomedical Information Detection and Ultrasound Imaging, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siping","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen 518060, China"},{"name":"Guangdong Key Laboratory of Biomedical Information Detection and Ultrasound Imaging, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,1]]},"container-title":["Bio-Medical Materials and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/BME-130912","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/BME-130912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T13:24:04Z","timestamp":1777382644000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/BME-130912"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014,1]]}},"alternative-id":["10.3233\/BME-130912"],"URL":"https:\/\/doi.org\/10.3233\/bme-130912","relation":{},"ISSN":["0959-2989","1878-3619"],"issn-type":[{"value":"0959-2989","type":"print"},{"value":"1878-3619","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1]]}}}