Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Pedro C. Neto"'
Autor:
Pedro C. Neto, Diana Montezuma, Sara P. Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-15 (2024)
Abstract Considering the profound transformation affecting pathology practice, we aimed to develop a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-slide images (WSI). For this, we propose a deep learning (DL) s
Externí odkaz:
https://doaj.org/article/91253dbe2b0841d8ae5dbc0c4080a147
Autor:
Sara P. Oliveira, Diana Montezuma, Ana Moreira, Domingos Oliveira, Pedro C. Neto, Ana Monteiro, João Monteiro, Liliana Ribeiro, Sofia Gonçalves, Isabel M. Pinto, Jaime S. Cardoso
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Cervical cancer is the fourth most common female cancer worldwide and the fourth leading cause of cancer-related death in women. Nonetheless, it is also among the most successfully preventable and treatable types of cancer, provided it is ea
Externí odkaz:
https://doaj.org/article/a56d5a11cfe94118af155e2936f9c3d5
Autor:
Pedro C. Neto, Diana Montezuma, Sara P. Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/f41ae9b2d6a344408f12aa33237040ed
Autor:
Sara P. Oliveira, Pedro C. Neto, João Fraga, Diana Montezuma, Ana Monteiro, João Monteiro, Liliana Ribeiro, Sofia Gonçalves, Isabel M. Pinto, Jaime S. Cardoso
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Most oncological cases can be detected by imaging techniques, but diagnosis is based on pathological assessment of tissue samples. In recent years, the pathology field has evolved to a digital era where tissue samples are digitised and evalu
Externí odkaz:
https://doaj.org/article/7259c74c95484c5ea21e6474921c24a9
Autor:
Tome Albuquerque, Ana Moreira, Beatriz Barros, Diana Montezuma, Sara P. Oliveira, Pedro C. Neto, Joao Monteiro, Liliana Ribeiro, Sofia Goncalves, Ana Monteiro, Isabel M. Pinto, Jaime S. Cardoso
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Manual assessment of fragments during the pro-cessing of pathology specimens is critical to ensure that the material available for slide analysis matches that captured during grossing without losing valuable material during this process. However, thi
Autor:
Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto, Naser Damer, Ana F. Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Pedro Beber De Queiroz Vidal, David Menotti
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b650e04ffb5bc0b189ef2d0404aa9e6
http://arxiv.org/abs/2208.02760
http://arxiv.org/abs/2208.02760
Autor:
Diana Montezuma, Sara P. Oliveira, Pedro C. Neto, Domingos Oliveira, Ana Monteiro, Jaime S. Cardoso, Isabel Macedo-Pinto
Publikováno v:
Modern Pathology. 36:100086
Autor:
Pedro C. Neto, Sara P. Oliveira, Diana Montezuma, João Fraga, Ana Monteiro, Liliana Ribeiro, Sofia Gonçalves, Isabel M. Pinto, Jaime S. Cardoso
Publikováno v:
Cancers; Volume 14; Issue 10; Pages: 2489
Colorectal cancer (CRC) diagnosis is based on samples obtained from biopsies, assessed in pathology laboratories. Due to population growth and ageing, as well as better screening programs, the CRC incidence rate has been increasing, leading to a high
Autor:
Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Goncalves, Ana F. Sequeira, Jaime S. Cardoso, Joao Tremoco, Miguel Lourenco, Sergio Serra, Eduardo Cermeno, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Conference on Biometrics (IJCB 2022). The competition attracted a total o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0094a50309d309aefb2bbaaf2359f0e8
Autor:
Mohsen Saffari, Ana F. Sequeira, Fadi Boutros, Jaime S. Cardoso, Joao Ribeiro Pinto, Naser Damer, Pedro C. Neto
Publikováno v:
BIOSIG
The recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS). In this work, we address the challenge of masked face recognition (MFR) and