Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nuno R. Freitas"'
Autor:
Pedro M. Vieira, A. Ismael F. Vaz, Carlos S. Lima, João Valente, Nuno R. Freitas, Carla Rolanda
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Purpose Wireless Capsule Endoscopy (WCE) is a minimally invasive diagnosis tool for lesion detection in the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the significant amount of acquired data leads to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ad16b61af9c89670763c48d2ad76e1b
https://doi.org/10.1002/mp.13709
https://doi.org/10.1002/mp.13709
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
https://pubmed.ncbi.nlm.nih.gov/35346444
Publikováno v:
Computer-Aided Analysis of Gastrointestinal Videos ISBN: 9783030643393
Angioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the small bowel, it is of great importance the development of a method to correctly localize these lesions w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc424c27f2427975a3c3060129a4468
https://doi.org/10.1007/978-3-030-64340-9_5
https://doi.org/10.1007/978-3-030-64340-9_5
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
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
https://doi.org/10.1016/j.artmed.2021.102141
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
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
Publikováno v:
EMBC
Nowadays the diagnosis of bladder lesions relies upon cystoscopy examination and depends on the interpreter's experience. State of the art of bladder tumor identification are based on 3D reconstruction, using CT images (Virtual Cystoscopy) or images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05cec03874861111d40e46587f0a56a9
https://pubmed.ncbi.nlm.nih.gov/29059958
https://pubmed.ncbi.nlm.nih.gov/29059958
Publikováno v:
2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG).
Nowadays the diagnosis of bladder lesions relies upon cystoscopic examination and depend on the interpreter's experience. State of the art of bladder tumor identification are based on 3D reconstruction, using CT images (Virtual Cystoscopy) or images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::679af634c21772a69789a7ab45c29e61
https://doi.org/10.1109/enbeng.2017.7889429
https://doi.org/10.1109/enbeng.2017.7889429
Autor:
Carlos S. Lima, J. Torres, N.A. De Sousa Morais, Pedro M. Vieira, Estevão Lima, Nuno R. Freitas, Sara Anacleto, Agostinho Cordeiro
Publikováno v:
European Urology Supplements. 17:e2072
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee8ef620cec4e2b4078994f02f654659
https://doi.org/10.1016/s1569-9056(18)32476-x
https://doi.org/10.1016/s1569-9056(18)32476-x
Publikováno v:
Physics in Medicine & Biology; Feb2018, Vol. 63 Issue 3, p1-1, 1p