N. Vargas-Cuentas, Fiorella Flores Medina, Kevin Rodriguez Villarreal, A. Roman-Gonzalez
{"title":"视网膜母细胞瘤早期检测系统","authors":"N. Vargas-Cuentas, Fiorella Flores Medina, Kevin Rodriguez Villarreal, A. Roman-Gonzalez","doi":"10.1109/CONCAPANXXXIX47272.2019.8977025","DOIUrl":null,"url":null,"abstract":"Retinoblastoma is a malignant cancerous tumor that arises in the retina. This type of intraocular cancer occurs in 94.1% in children under 5 years of age and with an incidence of 1 in every 16,000-18,000 births. Given this problematic situation, the present research proposes the development of a system for the detection of retinoblastoma composed of an app and an algorithm of image processing, to identify the presence of leukocoria in the iris that is shown as a white pupil in flash photos. The system of the early detection of retinoblastoma was designed and implemented, afterwards was tested with a control group (20) and a case group (15). The total sample (35) was composed of members between 6 months and 45 years old, where 25.71% are female and the remaining 74.29% are male. The 92% of the total sample indicates the correct functioning of the Retino App mobile application. Besides, the system's algorithm has correctly identified the 93.33% of the cases and the 95% of the controls.","PeriodicalId":272652,"journal":{"name":"2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"System for the Early Detection of Retinoblastoma\",\"authors\":\"N. Vargas-Cuentas, Fiorella Flores Medina, Kevin Rodriguez Villarreal, A. Roman-Gonzalez\",\"doi\":\"10.1109/CONCAPANXXXIX47272.2019.8977025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Retinoblastoma is a malignant cancerous tumor that arises in the retina. This type of intraocular cancer occurs in 94.1% in children under 5 years of age and with an incidence of 1 in every 16,000-18,000 births. Given this problematic situation, the present research proposes the development of a system for the detection of retinoblastoma composed of an app and an algorithm of image processing, to identify the presence of leukocoria in the iris that is shown as a white pupil in flash photos. The system of the early detection of retinoblastoma was designed and implemented, afterwards was tested with a control group (20) and a case group (15). The total sample (35) was composed of members between 6 months and 45 years old, where 25.71% are female and the remaining 74.29% are male. The 92% of the total sample indicates the correct functioning of the Retino App mobile application. Besides, the system's algorithm has correctly identified the 93.33% of the cases and the 95% of the controls.\",\"PeriodicalId\":272652,\"journal\":{\"name\":\"2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8977025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8977025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Retinoblastoma is a malignant cancerous tumor that arises in the retina. This type of intraocular cancer occurs in 94.1% in children under 5 years of age and with an incidence of 1 in every 16,000-18,000 births. Given this problematic situation, the present research proposes the development of a system for the detection of retinoblastoma composed of an app and an algorithm of image processing, to identify the presence of leukocoria in the iris that is shown as a white pupil in flash photos. The system of the early detection of retinoblastoma was designed and implemented, afterwards was tested with a control group (20) and a case group (15). The total sample (35) was composed of members between 6 months and 45 years old, where 25.71% are female and the remaining 74.29% are male. The 92% of the total sample indicates the correct functioning of the Retino App mobile application. Besides, the system's algorithm has correctly identified the 93.33% of the cases and the 95% of the controls.
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