1 resultado para MS-based methods
em Universidade Federal do Rio Grande do Norte(UFRN)
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Repository Napier (1)
- Aberystwyth University Repository - Reino Unido (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (21)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Aquatic Commons (15)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (11)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (8)
- Aston University Research Archive (21)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (8)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (63)
- Boston University Digital Common (5)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (22)
- CentAUR: Central Archive University of Reading - UK (48)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (19)
- Cochin University of Science & Technology (CUSAT), India (10)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Dalarna University College Electronic Archive (8)
- Deakin Research Online - Australia (76)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (13)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (11)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (4)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (8)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (4)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (27)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (44)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico do Porto, Portugal (3)
- Massachusetts Institute of Technology (2)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (5)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (7)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (88)
- Queensland University of Technology - ePrints Archive (109)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (61)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scientific Open-access Literature Archive and Repository (2)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (54)
- Universidade de Lisboa - Repositório Aberto (3)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universidade Técnica de Lisboa (1)
- Universita di Parma (3)
- Universitat de Girona, Spain (9)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (6)
- Université de Montréal, Canada (8)
- University of Connecticut - USA (1)
- University of Queensland eSpace - Australia (10)
- University of Washington (2)
- WestminsterResearch - UK (2)
Resumo:
Image segmentation is one of the image processing problems that deserves special attention from the scientific community. This work studies unsupervised methods to clustering and pattern recognition applicable to medical image segmentation. Natural Computing based methods have shown very attractive in such tasks and are studied here as a way to verify it's applicability in medical image segmentation. This work treats to implement the following methods: GKA (Genetic K-means Algorithm), GFCMA (Genetic FCM Algorithm), PSOKA (PSO and K-means based Clustering Algorithm) and PSOFCM (PSO and FCM based Clustering Algorithm). Besides, as a way to evaluate the results given by the algorithms, clustering validity indexes are used as quantitative measure. Visual and qualitative evaluations are realized also, mainly using data given by the BrainWeb brain simulator as ground truth