1 resultado para BLOOD MONONUCLEAR-CELLS
em WestminsterResearch - UK
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- ABACUS. Repositorio de Producción Científica - Universidad Europea (2)
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (12)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (17)
- Biblioteca de Teses e Dissertações da USP (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (66)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (32)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (11)
- Bioline International (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (101)
- Brock University, Canada (1)
- Cambridge University Engineering Department Publications Database (1)
- CentAUR: Central Archive University of Reading - UK (27)
- Centro Hospitalar do Porto (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (13)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (16)
- Digital Commons at Florida International University (1)
- DigitalCommons@The Texas Medical Center (26)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (9)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (17)
- Indian Institute of Science - Bangalore - Índia (11)
- Instituto Nacional de Saúde de Portugal (3)
- National Center for Biotechnology Information - NCBI (73)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (49)
- Queensland University of Technology - ePrints Archive (91)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (3)
- Repositório Institucional da Universidade Federal de São Paulo - UNIFESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (177)
- 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)
- Scielo España (1)
- Universidad del Rosario, Colombia (4)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (3)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (12)
- Universita di Parma (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (12)
- Université de Montréal (2)
- Université de Montréal, Canada (22)
- University of Connecticut - USA (1)
- University of Queensland eSpace - Australia (21)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
This paper describes a novel idea to identify the total number of red blood cells (RBCs) as well as their location in a Giemsa stained thin blood film image. This work is being undertaken as a part of developing an automated malaria parasite detection system by scanning a photograph of thin blood film in order to evaluate the parasitemia of the blood. Not only will this method eliminates the segmentation procedures that are normally used to segment the cells in the microscopic image, but also avoids any image pre-processing to deal with non uniform illumination prior to cell detection. The method utilizes basic knowledge on cell structure and brightness of the components due to Giemsa staining of the sample and detects and locates the RBCs in the image.