Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones

Autor: Elsa M. Materón, Faustino R. Gómez, Mariana B. Almeida, Flavio M. Shimizu, Ademar Wong, Kelcilene B. R. Teodoro, Filipe S. R. Silva, Manoel J. A. Lima, Monara Kaelle S. C. Angelim, Matias E. Melendez, Nelson Porras, Pedro M. Vieira, Daniel S. Correa, Emanuel Carrilho, Osvaldo N. Oliveira, Ricardo B. Azevedo, Débora Goncalves

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (f-AuNPs). Intense color changes were noted with the naked eye owing to plasmo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eb9b63d8cace01977a6393f40fcc4cf
https://doi.org/10.1021/acsami.2c15407

Detection of bladder cancer with feature fusion, transfer learning and CapsNets

Autor: Nuno R. Freitas, Pedro M. Vieira, Agostinho Cordeiro, Catarina Tinoco, Nuno Morais, João Torres, Sara Anacleto, M. Pilar Laguna, Estevão Lima, Carlos S. Lima

Publikováno v: Artificial intelligence in medicine. 126

This paper confronts two approaches to classify bladder lesions shown in white light cystoscopy images when using small datasets: the classical one, where handcrafted-based features feed pattern recognition systems and the modern deep learning-based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929945281fec1b583377bd6c7f1e33fa
https://pubmed.ncbi.nlm.nih.gov/35346444

Performance clínica de um novo software para detetar automaticamente angiectasias na endoscopia por cápsula

Autor: Sofia Silva Mendes, Carlos S. Lima, Catarina Pinto, Dalila Costa, Carla Rolanda, Pedro M. Vieira, Raquel Gonçalves, Tiago Leal, Bruno Arroja

Publikováno v: GE Port J Gastroenterol
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
GE-Portuguese Journal of Gastroenterology v.28 n.2 2021
GE: Portuguese Journal of Gastroenterology, Pp 1-10 (2020)

Background: Video capsule endoscopy (VCE) revolutionized the diagnosis and management of obscure gastrointestinal bleeding, though the rate of detection of small bowel lesions by the physician is still disappointing. Our group developed a novel algor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd556b1d0ed8382c171e3deb0d37aa43
https://europepmc.org/articles/PMC7991495/

Multi-pathology detection and lesion localization in WCE videos by using the instance segmentation approach

Autor: Carla Rolanda, Pedro M. Vieira, Dalila Costa, Nuno R. Freitas, Carlos S. Lima, Veríssimo B. Lima

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

The majority of current systems for automatic diagnosis considers the detection of a unique and previously known pathology. Considering specifically the diagnosis of lesions in the small bowel using endoscopic capsule images, very few consider the po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3dc4467cdae62d7c248146d12e3b6f6
https://doi.org/10.1016/j.artmed.2021.102141

Automatic T1 bladder tumor detection by using wavelet analysis in cystoscopy images

Autor: Pedro M. Vieira, Nuno R. Freitas, Carlos S. Lima, Estevão Lima

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Correct classification of cystoscopy images depends on the interpreter's experience. Bladder cancer is a common lesion that can only be confirmed by biopsying the tissue, therefore, the automatic identification of tumors plays a significant role in e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67618642ac0e598a75cbff9c1531906