1 resultado para Segmentation cardiaque
em Scielo Uruguai
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Aquatic Commons (3)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (10)
- Aston University Research Archive (19)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (15)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (59)
- Boston University Digital Common (12)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (75)
- CentAUR: Central Archive University of Reading - UK (35)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (16)
- Cochin University of Science & Technology (CUSAT), India (6)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (6)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons at Florida International University (4)
- DigitalCommons@The Texas Medical Center (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (3)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (4)
- Helda - Digital Repository of University of Helsinki (22)
- Indian Institute of Science - Bangalore - Índia (57)
- Massachusetts Institute of Technology (7)
- National Center for Biotechnology Information - NCBI (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (62)
- Queensland University of Technology - ePrints Archive (193)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (3)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (23)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- School of Medicine, Washington University, United States (1)
- Scielo Uruguai (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (36)
- Universidade Complutense de Madrid (2)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (12)
- Université de Lausanne, Switzerland (4)
- Université de Montréal (36)
- Université de Montréal, Canada (91)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (4)
- University of Queensland eSpace - Australia (14)
- University of Southampton, United Kingdom (1)
Resumo:
The use of digital image processing techniques is prominent in medical settings for the automatic diagnosis of diseases. Glaucoma is the second leading cause of blindness in the world and it has no cure. Currently, there are treatments to prevent vision loss, but the disease must be detected in the early stages. Thus, the objective of this work is to develop an automatic detection method of Glaucoma in retinal images. The methodology used in the study were: acquisition of image database, Optic Disc segmentation, texture feature extraction in different color models and classification of images in glaucomatous or not. We obtained results of 93% accuracy