Diagnosis made with integration of computer vision and machine learning to process biosensor images (2025)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; OITICICA, PEDRO RAMON ALMEIDA - IFSC ; SOARES, JULIANA COATRINI - IFSC
- Unidade: IFSC
- Subjects: VISÃO COMPUTACIONAL; DIAGNÓSTICO POR COMPUTADOR; COVID-19
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Pesquisa em Materiais - SBPMat
- Publisher place: Rio de Janeiro
- Date published: 2025
- Source:
- Título: Presentation program
- Conference titles: Brazil MRS Meeting
-
ABNT
OITICICA, Pedro Ramon Almeida et al. Diagnosis made with integration of computer vision and machine learning to process biosensor images. 2025, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2025. Disponível em: https://www.eventweb.com.br/xxiiisbpmat/specific-files/manuscripts/xxiiisbpmat/262_1748314643.pdf. Acesso em: 12 fev. 2026. -
APA
Oiticica, P. R. A., Angelim, M. K. S. C., Soares, J. C., Soares, A. C., Módena, J. L. P., Bruno, O. M., & Oliveira Junior, O. N. de. (2025). Diagnosis made with integration of computer vision and machine learning to process biosensor images. In Presentation program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://www.eventweb.com.br/xxiiisbpmat/specific-files/manuscripts/xxiiisbpmat/262_1748314643.pdf -
NLM
Oiticica PRA, Angelim MKSC, Soares JC, Soares AC, Módena JLP, Bruno OM, Oliveira Junior ON de. Diagnosis made with integration of computer vision and machine learning to process biosensor images [Internet]. Presentation program. 2025 ;[citado 2026 fev. 12 ] Available from: https://www.eventweb.com.br/xxiiisbpmat/specific-files/manuscripts/xxiiisbpmat/262_1748314643.pdf -
Vancouver
Oiticica PRA, Angelim MKSC, Soares JC, Soares AC, Módena JLP, Bruno OM, Oliveira Junior ON de. Diagnosis made with integration of computer vision and machine learning to process biosensor images [Internet]. Presentation program. 2025 ;[citado 2026 fev. 12 ] Available from: https://www.eventweb.com.br/xxiiisbpmat/specific-files/manuscripts/xxiiisbpmat/262_1748314643.pdf - Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus
- Genosensors on gold nano-islands to detect SARS-CoV-2
- Organic thin film lasers applied to chemical sensing
- Gold nanoparticles onto glass substrates for plasmonic biosensing applications
- Plasmonic substrates with gold nano-islands onto glass for detection of SARS-CoV-2 virus
- Plasmonic substrates composed of gold nano-islands for detection of SARS-CV-2 virus
- Plasmonic biosensors based on AUNI/glass substrates using optical microscopy and machine learning image classification as detection methods
- Information visualization applied to data from biosensors made with a chitosan/chondrotin sulfate matrix to detect Staphylococcus aureus.
- Zein/curcumin carbon dots-based electronic tongue for staphylococcus aureus detection in milk using novel low-cost portable impedance analyzer
- Nanoarchitectonic e-tongue of electrospun zein/curcumin carbon dots for detecting staphylococcus aureus in milk
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| PROD037574_3272595.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
