Cookies
Usamos cookies para melhorar nosso site e a sua experiência. Ao continuar a navegar no site, você aceita a nossa política de cookies. Ver mais
Aceitar Rejeitar
  • Menu
Tópicos
de interesse
Detalhes

Detalhes

003
Publicações

2020

Automatic Lung Reference Model

Autores
Machado, M; Ferreira, CA; Pedrosa, J; Negrao, E; Rebelo, J; Leitao, P; Carvalho, AS; Rodrigues, MC; Ramos, I; Cunha, A; Campilho, A;

Publicação
IFMBE Proceedings - XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019

Abstract

2020

Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images

Autores
Rocha, J; Cunha, A; Mendonca, AM;

Publicação
Journal of Medical Systems

Abstract

2020

Segmentation of Pulmonary Nodules in CT Images Using the Sliding Band Filter

Autores
Rocha, J; Cunha, A; Mendonca, AM;

Publicação
IFMBE Proceedings

Abstract
This paper proposes a conventional approach for pulmonary nodule segmentation, that uses the Sliding Band Filter to estimate the center of the nodule, and consequently the filter’s support points, matching the initial border coordinates. This preliminary segmentation is then refined to try to include mainly the nodular area, and no other regions (e.g. vessels and pleural wall). The algorithm was tested on 2653 nodules from the LIDC database and achieved a Dice score of 0.663, yielding similar results to the ground truth reference, and thus being a promising tool to promote early lung cancer screening and improve nodule characterization. © 2020, Springer Nature Switzerland AG.

2020

Automatic lung nodule detection combined with gaze information improves radiologists' screening performance

Autores
Aresta, G; Ferreira, C; Pedrosa, J; Araujo, T; Rebelo, J; Negrao, E; Morgado, M; Alves, F; Cunha, A; Ramos, I; Campilho, A;

Publicação
IEEE Journal of Biomedical and Health Informatics

Abstract

2020

Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

Autores
Pinheiro, G; Pereira, T; Dias, C; Freitas, C; Hespanhol, V; Costa, JL; Cunha, A; Oliveira, HP;

Publicação
Scientific Reports

Abstract

Teses
supervisionadas

2019

Deep Homography for Endoscopic Capsule Frames Localisation

Autor
Sara Garrido Gomes

Instituição
UP-FEUP

2019

Segmentation of Pulmonary Nodules in CT images

Autor
Joana Maria Neves da Rocha

Instituição
UP-FEUP

2019

Detecção e Classificação de Anormalidades em Vídeos de Endoscopia por Cápsula

Autor
Filipe Miguel Oliveira Fonseca

Instituição
UTAD

2019

Deteção e segmentação de sangramentos em imagens gastrointestinais de cápsulas endoscópicas

Autor
Paulo Jorge Simões Coelho

Instituição
UTAD

2019

3D Lung Nodule Classification in Computed Tomography Images

Autor
Ana Rita Felgueiras Carvalho

Instituição
UP-FEUP