{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T23:29:21Z","timestamp":1780356561656,"version":"3.54.1"},"reference-count":30,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,5,7]],"date-time":"2022-05-07T00:00:00Z","timestamp":1651881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ITRC (Information Technology Research Center)","award":["IITP-2022-2017-0-01630"],"award-info":[{"award-number":["IITP-2022-2017-0-01630"]}]},{"name":"ITRC (Information Technology Research Center)","award":["GRRC-Gachon2020(B01)"],"award-info":[{"award-number":["GRRC-Gachon2020(B01)"]}]},{"name":"ITRC (Information Technology Research Center)","award":["FRD2019-08"],"award-info":[{"award-number":["FRD2019-08"]}]},{"DOI":"10.13039\/501100013173","name":"GRRC program of Gyeonggi province","doi-asserted-by":"publisher","award":["IITP-2022-2017-0-01630"],"award-info":[{"award-number":["IITP-2022-2017-0-01630"]}],"id":[{"id":"10.13039\/501100013173","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013173","name":"GRRC program of Gyeonggi province","doi-asserted-by":"publisher","award":["GRRC-Gachon2020(B01)"],"award-info":[{"award-number":["GRRC-Gachon2020(B01)"]}],"id":[{"id":"10.13039\/501100013173","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013173","name":"GRRC program of Gyeonggi province","doi-asserted-by":"publisher","award":["FRD2019-08"],"award-info":[{"award-number":["FRD2019-08"]}],"id":[{"id":"10.13039\/501100013173","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006107","name":"Gachon University Gil Medical Center","doi-asserted-by":"publisher","award":["IITP-2022-2017-0-01630"],"award-info":[{"award-number":["IITP-2022-2017-0-01630"]}],"id":[{"id":"10.13039\/501100006107","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006107","name":"Gachon University Gil Medical Center","doi-asserted-by":"publisher","award":["GRRC-Gachon2020(B01)"],"award-info":[{"award-number":["GRRC-Gachon2020(B01)"]}],"id":[{"id":"10.13039\/501100006107","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006107","name":"Gachon University Gil Medical Center","doi-asserted-by":"publisher","award":["FRD2019-08"],"award-info":[{"award-number":["FRD2019-08"]}],"id":[{"id":"10.13039\/501100006107","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Cervical cancer is one of the main causes of death from cancer in women. However, it can be treated successfully at an early stage. This study aims to propose an image processing algorithm based on acetowhite, which is an important criterion for diagnosing cervical cancer, to increase the accuracy of the deep learning classification model. Then, we mainly compared the performance of the model, the original image without image processing, a mask image made with acetowhite as the region of interest, and an image using the proposed algorithm. In conclusion, the deep learning classification model based on images with the proposed algorithm achieved an accuracy of 81.31%, which is approximately 9% higher than the model with original images and approximately 4% higher than the model with acetowhite mask images. Our study suggests that the proposed algorithm based on acetowhite could have a better performance than other image processing algorithms for classifying stages of cervical images.<\/jats:p>","DOI":"10.3390\/s22093564","type":"journal-article","created":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T23:27:25Z","timestamp":1652052445000},"page":"3564","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4433-5422","authenticated-orcid":false,"given":"Yoon Ji","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University, 21 Namdong-daero 774 Beon-gil, Namdong-gu, Incheon 21565, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Woong","family":"Ju","sequence":"additional","affiliation":[{"name":"Department of Obstetrics & Gynecology, Seoul Hospital, Ewha Womans University, Seoul 07804, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kye Hyun","family":"Nam","sequence":"additional","affiliation":[{"name":"Department of Obstetrics & Gynecology, Bucheon Hospital, Soonchunhyang University, Bucheon-si 14584, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soo Nyung","family":"Kim","sequence":"additional","affiliation":[{"name":"R & D Center, NTL Medical Institute, Seongnam-si 13449, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young Jae","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University, 21 Namdong-daero 774 Beon-gil, Namdong-gu, Incheon 21565, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9714-6038","authenticated-orcid":false,"given":"Kwang Gi","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University, 21 Namdong-daero 774 Beon-gil, Namdong-gu, Incheon 21565, Korea"},{"name":"Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21565, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e161","DOI":"10.1016\/S2214-109X(20)30459-9","article-title":"Estimates of the global burden of cervical cancer associated with HIV","volume":"9","author":"Stelzle","year":"2021","journal-title":"Lancet Glob. 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