{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:14:13Z","timestamp":1760145253373,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Tecnol\u00f3gico Nacional de M\u00e9xico"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Cervical cancer ranks among the leading causes of mortality in women worldwide, underscoring the critical need for early detection to ensure patient survival. While the Pap smear test is widely used, its effectiveness is hampered by the inherent subjectivity of cytological analysis, impacting its sensitivity and specificity. This study introduces an innovative methodology for detecting and tracking precursor cervical cancer cells using SIFT descriptors in video sequences captured with mobile devices. More than one hundred digital images were analyzed from Papanicolaou smears provided by the State Public Health Laboratory of Michoac\u00e1n, Mexico, along with over 1800 unique examples of cervical cancer precursor cells. SIFT descriptors enabled real-time correspondence of precursor cells, yielding results demonstrating 98.34% accuracy, 98.3% precision, 98.2% recovery rate, and an F-measure of 98.05%. These methods were meticulously optimized for real-time analysis, showcasing significant potential to enhance the accuracy and efficiency of the Pap smear test in early cervical cancer detection.<\/jats:p>","DOI":"10.3390\/a17070309","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T14:04:35Z","timestamp":1720793075000},"page":"309","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Tracking and Detection of Cervical Cancer Precursor Cells: Leveraging SIFT Descriptors in Mobile Video Sequences for Enhanced Early Diagnosis"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6514-4571","authenticated-orcid":false,"given":"Jesus Eduardo","family":"Alcaraz-Chavez","sequence":"first","affiliation":[{"name":"DEPI, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Morelia, Av. Tecnol\u00f3gico No. 1500, Col. Lomas de Santiguito, Morelia 58120, Michoac\u00e1n, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0945-2076","authenticated-orcid":false,"given":"Adriana del Carmen","family":"T\u00e9llez-Anguiano","sequence":"additional","affiliation":[{"name":"DEPI, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Morelia, Av. Tecnol\u00f3gico No. 1500, Col. Lomas de Santiguito, Morelia 58120, Michoac\u00e1n, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5302-1786","authenticated-orcid":false,"given":"Juan Carlos","family":"Olivares-Rojas","sequence":"additional","affiliation":[{"name":"DEPI, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Morelia, Av. Tecnol\u00f3gico No. 1500, Col. Lomas de Santiguito, Morelia 58120, Michoac\u00e1n, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4051-6434","authenticated-orcid":false,"given":"Ricardo","family":"Mart\u00ednez-Parrales","sequence":"additional","affiliation":[{"name":"DEPI, Tecnol\u00f3gico Nacional de M\u00e9xico\/Instituto Tecnol\u00f3gico de Morelia, Av. Tecnol\u00f3gico No. 1500, Col. Lomas de Santiguito, Morelia 58120, Michoac\u00e1n, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2024, June 11). Cervical Cancer. Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/cervical-cancer."},{"key":"ref_2","unstructured":"(2024, June 11). Asociaci\u00f3n Espa\u00f1ola Contra el C\u00e1ncer Epidemiolog\u00eda del c\u00e1Ncer Cervicouterino. 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