Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Nuno Matela"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 9, p 218 (2024)
Breast cancer is the most commonly diagnosed cancer worldwide. The therapy used and its success depend highly on the histology of the tumor. This study aimed to explore the potential of predicting the molecular subtype of breast cancer using radiomic
Externí odkaz:
https://doaj.org/article/9d4a0ab0c76342ae91c6e541501a7fb4
Publikováno v:
Biomedicines, Vol 12, Iss 6, p 1371 (2024)
Breast cancer remains a leading cause of mortality among women, with molecular subtypes significantly influencing prognosis and treatment strategies. Currently, identifying the molecular subtype of cancer requires a biopsy—a specialized, expensive,
Externí odkaz:
https://doaj.org/article/71bf6da697c44266a918f32478d52b69
Publikováno v:
Tomography, Vol 9, Iss 1, Pp 398-412 (2023)
Breast cancer was the most diagnosed cancer around the world in 2020. Screening programs, based on mammography, aim to achieve early diagnosis which is of extreme importance when it comes to cancer. There are several flaws associated with mammography
Externí odkaz:
https://doaj.org/article/f7bf8fcf072846e39b442fe1811f5a5d
Autor:
Tânia F. Vaz, Nuno Canto Moreira, Lena Hellström-Westas, Nima Naseh, Nuno Matela, Hugo A. Ferreira
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1339 (2024)
Magnetic resonance imaging (MRI) plays an important role in assessing early brain development and injury in neonates. When using an automated volumetric analysis, brain tissue segmentation is necessary, preceded by brain extraction (BE) to remove non
Externí odkaz:
https://doaj.org/article/fde724b8376648d1a8ffac5401f4b9bb
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1171 (2023)
From an early age, people are exposed to risk factors that can lead to musculoskeletal disorders like low back pain, neck pain and scoliosis. Medical screenings at an early age might minimize their incidence. The study intends to improve a software t
Externí odkaz:
https://doaj.org/article/001a8781716a407dba919e6a407e52c6
Autor:
Duarte Oliveira-Saraiva, João Mendes, João Leote, Filipe André Gonzalez, Nuno Garcia, Hugo Alexandre Ferreira, Nuno Matela
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 217 (2023)
Ultrasound (US) imaging is used in the diagnosis and monitoring of COVID-19 and breast cancer. The presence of Speckle Noise (SN) is a downside to its usage since it decreases lesion conspicuity. Filters can be used to remove SN, but they involve tim
Externí odkaz:
https://doaj.org/article/804fdf21b6ba4732826d6da53ab82e2b
Publikováno v:
Journal of Imaging, Vol 9, Iss 6, p 119 (2023)
Currently, breast cancer is the most commonly diagnosed type of cancer worldwide. Digital Breast Tomosynthesis (DBT) has been widely accepted as a stand-alone modality to replace Digital Mammography, particularly in denser breasts. However, the image
Externí odkaz:
https://doaj.org/article/4200c0deaf064a7da8ae8ad95ad8bb07
Autor:
Nuno Cruz, Manuel Herculano-Carvalho, Diogo Roque, Cláudia C. Faria, Rita Cascão, Hugo Alexandre Ferreira, Catarina Pinto Reis, Nuno Matela
Publikováno v:
Pharmaceutics, Vol 15, Iss 3, p 928 (2023)
Glioblastoma multiforme (GBM) remains a challenging disease, as it is the most common and deadly brain tumour in adults and has no curative solution and an overall short survival time. This incurability and short survival time means that, despite its
Externí odkaz:
https://doaj.org/article/67766109b04d428eab8408aced7ec891
Publikováno v:
Journal of Imaging, Vol 8, Iss 9, p 228 (2022)
Breast cancer was the most diagnosed cancer in 2020. Several thousand women continue to die from this disease. A better and earlier diagnosis may be of great importance to improving prognosis, and that is where Artificial Intelligence (AI) could play
Externí odkaz:
https://doaj.org/article/393845c4f28c452999d13ad74d53ad63
Publikováno v:
Journal of Imaging, Vol 8, Iss 9, p 231 (2022)
Microcalcification clusters (MCs) are among the most important biomarkers for breast cancer, especially in cases of nonpalpable lesions. The vast majority of deep learning studies on digital breast tomosynthesis (DBT) are focused on detecting and cla
Externí odkaz:
https://doaj.org/article/7250aa6db6df49069ba58eed56e5e827