dc.contributorJoussen Matias Arteaga Palma
dc.contributorCatalina de los Ángeles Campusano Morales
dc.contributorIgnacio Matias Haeussler Risco
dc.date2018-12-18
dc.date2021-07-15T21:48:15Z
dc.date.accessioned2022-12-22T07:46:49Z
dc.date.available2022-12-22T07:46:49Z
dc.identifier18TSF9-107923
dc.identifier2018-107923-INNOVA_PRODUCCION
dc.identifierhttp://repositoriodigital.corfo.cl:80/xmlui/handle/11373/171314
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5565317
dc.descriptionZappyjaw is a Web Application That Aims To Assist Dental Diagnosis By Automatically Detecting Tooth Decay In X-ray Images Using Deep Learning And Computational Vision. Its Purpose is To Decrease Time Of Dental Radiography Analysis And Diagnosis, And Most Importantly Improve the Currently Low Diagnosis Accuracy (54-63%).
dc.descriptionZappyjaw is a Web Application That Aims To Assist Dental Diagnosis By Automatically Detecting Tooth Decay In X-ray Images Using Deep Learning And Computational Vision. Its Purpose is To Decrease Time Of Dental Radiography Analysis And Diagnosis, And Most Importantly Improve the Currently Low Diagnosis Accuracy (54-63%).
dc.descriptionCorporación de Fomento de la Producción
dc.titleZappyjaw
dc.typeproyecto


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