Zobrazeno 1 - 10
of 22
pro vyhledávání: '"LÓPEZ, ELEONORA"'
The application of deep learning in medical imaging has significantly advanced diagnostic capabilities, enhancing both accuracy and efficiency. Despite these benefits, the lack of transparency in these AI models, often termed "black boxes," raises co
Externí odkaz:
http://arxiv.org/abs/2409.13045
Generating images from brain waves is gaining increasing attention due to its potential to advance brain-computer interface (BCI) systems by understanding how brain signals encode visual cues. Most of the literature has focused on fMRI-to-Image tasks
Externí odkaz:
http://arxiv.org/abs/2410.02780
Emotion recognition is essential across numerous fields, including medical applications and brain-computer interface (BCI). Emotional responses include behavioral reactions, such as tone of voice and body movement, and changes in physiological signal
Externí odkaz:
http://arxiv.org/abs/2410.00010
Emotion recognition is relevant in various domains, ranging from healthcare to human-computer interaction. Physiological signals, being beyond voluntary control, offer reliable information for this purpose, unlike speech and facial expressions which
Externí odkaz:
http://arxiv.org/abs/2409.09194
Hypercomplex neural networks are gaining increasing interest in the deep learning community. The attention directed towards hypercomplex models originates from several aspects, spanning from purely theoretical and mathematical characteristics to the
Externí odkaz:
http://arxiv.org/abs/2403.17929
Multimodal emotion recognition from physiological signals is receiving an increasing amount of attention due to the impossibility to control them at will unlike behavioral reactions, thus providing more reliable information. Existing deep learning-ba
Externí odkaz:
http://arxiv.org/abs/2310.07648
Autor:
Lopez, Eleonora, Betello, Filippo, Carmignani, Federico, Grassucci, Eleonora, Comminiello, Danilo
Breast cancer is the most widespread neoplasm among women and early detection of this disease is critical. Deep learning techniques have become of great interest to improve diagnostic performance. However, distinguishing between malignant and benign
Externí odkaz:
http://arxiv.org/abs/2310.07633
Traditionally, deep learning methods for breast cancer classification perform a single-view analysis. However, radiologists simultaneously analyze all four views that compose a mammography exam, owing to the correlations contained in mammography view
Externí odkaz:
http://arxiv.org/abs/2204.05798
Autor:
Lopez, Eleonora, Betello, Filippo, Carmignani, Federico, Grassucci, Eleonora, Comminiello, Danilo
Publikováno v:
In Pattern Recognition Letters June 2024 182:140-146
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.