Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Imatgeria mèdica"'
Autor:
Saperas López, Sergi
Artificial neural networks have unlocked countless applications in medical image computing. Thanks to artificial intelligence development over the past few years, it is possible for machines to visually detect in real time almost anything. This has p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::2936da7c6f30bb524bd892ddbc3b0e8b
https://hdl.handle.net/2117/386992
https://hdl.handle.net/2117/386992
Autor:
Segon Mayans, Maria Elisabet
Esta tesis investiga el uso de arquitecturas de aprendizaje profundo para el análisis automatizado de imágenes histopatológicas en el diagnóstico de cáncer de mama. Al comparar el rendimiento de HoVer-Net y U-Net en dos tipos de tinciones, HER2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::c4af5e5556b96271071e6c34428f34c4
https://hdl.handle.net/2117/384472
https://hdl.handle.net/2117/384472
Publikováno v:
Sensors (Basel, Switzerland). 23(1)
The need for non-ionizing techniques for medical imaging applications has led to the use of microwave signals. Several systems have been introduced in recent years based on increasing the number of antennas and frequency bandwidth to obtain high reso
In the first part, we will use the project created by the department of Biomedical Imaging Algorithms of the Czech technical university (CTU) to get in touch with the architecture of the model, optimize it and obtain the best results possible decreas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::e46ea300727f9da813a1b583dfc9f8f2
https://hdl.handle.net/2117/386224
https://hdl.handle.net/2117/386224
Autor:
Rosell Murillo, Marina
Als hospitals Vall d'Hebron i Bellvitge s'utilitzen dues marques diferents de tinció de cèl·lules HER2 per diagnosticar pacients amb càncer de mama HER2 positiu, que presenten variacions de color. Disposem d'un conjunt de dades etiquetades de Val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::dba86a4e90a7d79dc63702a7e147dbad
https://hdl.handle.net/2117/380696
https://hdl.handle.net/2117/380696
Autor:
Gambin Martinez, Marcos
L'aterosclerosi és una malaltia inflamatòria que afecta artèries grans i mitjanes. Això es produeix a causa de l'acumulació de placa a les parets. Aquest procés d'acumulació és lent i es produeix al llarg de dècades, podent arribar, en casos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::e5593ed4d8808ed98c443630409ebd41
https://hdl.handle.net/2117/383374
https://hdl.handle.net/2117/383374
Autor:
Liliana Valencia, Albert Clèrigues, Sergi Valverde, Mostafa Salem, Arnau Oliver, Àlex Rovira, Xavier Lladó
Publikováno v:
Scientia
Frontiers in Neuroscience, 2022, vol. 16, art.núm. 954662
Articles publicats (D-ATC)
DUGiDocs – Universitat de Girona
instname
Frontiers in Neuroscience, 2022, vol. 16, art.núm. 954662
Articles publicats (D-ATC)
DUGiDocs – Universitat de Girona
instname
MRI; Deep learning; Multiple sclerosis Resonancia magnética; Aprendizaje profundo; Esclerosis múltiple Ressonància magnètica; Aprenentatge profund; Esclerosi múltiple The assessment of disease activity using serial brain MRI scans is one of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3255e591c6227d3ccf8e6af8e83f092
https://hdl.handle.net/11351/8516
https://hdl.handle.net/11351/8516
Autor:
Palmero Arans, Vicenç
Nowadays the importance of image sensing for the optimization of industry processes, medicine, security, etc is unquestionable. This sensing is mostly implemented by an array of pixels that acquire information from the environment by capturing incide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::436c5366ee95f409b918256bb27df045
https://hdl.handle.net/2117/388352
https://hdl.handle.net/2117/388352
Autor:
Le Boeuf Fló, Andrés
Magnetic resonance imaging is commonly used as a complement to the ultrasound gold-standard to investigate equivocal patterns in the developing fetal brain. However, stochastic motion of the fetus may alter the image quality and subsequent diagnostic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::2898a5466fffb19821b97013b00491a0
https://hdl.handle.net/2117/379855
https://hdl.handle.net/2117/379855
Autor:
Espina i Boronat, Maria
For breast cancer diagnosis, the computation of the KI-67 score is a useful metric to define patient?s treatment. For a proper computation of this score, tumour and stroma areas have to be distinguished in KI-67 images. However, this is not an easy t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::1cef905fe5b9029aa83fb2eb96ee2517
https://hdl.handle.net/2117/381078
https://hdl.handle.net/2117/381078