Segui
Daniela Cuza
Daniela Cuza
PhD student at Heriot-Watt University & CentraleSupélec, Université Paris-Saclay
Email verificata su hw.ac.uk
Titolo
Citata da
Citata da
Anno
An empirical study on ensemble of segmentation approaches
L Nanni, A Lumini, A Loreggia, A Formaggio, D Cuza
Signals 3 (2), 341-358, 2022
212022
Deep ensembles in bioimage segmentation
L Nanni, D Cuza, A Lumini, A Loreggia, S Brahnam
arXiv preprint arXiv:2112.12955, 2021
122021
Polyp segmentation with deep ensembles and data augmentation
L Nanni, D Cuza, A Lumini, A Loreggia, S Brahman
Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image …, 2022
72022
Building ensemble of resnet for dolphin whistle detection
L Nanni, D Cuza, S Brahnam
Applied Sciences 13 (14), 8029, 2023
62023
Deep ensembles and data augmentation for semantic segmentation
L Nanni, A Lumini, A Loreggia, S Brahnam, D Cuza
Diagnostic Biomedical Signal and Image Processing Applications with Deep …, 2023
52023
Deep ensembles in bioimage segmentation. arXiv 2021
L Nanni, D Cuza, A Lumini, A Loreggia, S Brahnam
arXiv preprint arXiv:2112.12955, 0
5
Deep ensembles in bioimage segmentation (2021)
L Nanni, D Cuza, A Lumini, A Loreggia, S Brahnam
arXiv preprint arXiv:2112.12955, 0
4
Data augmentation for deep ensembles in polyp segmentation
L Nanni, D Cuza, A Lumini, S Brahnam
Computational Intelligence Based Solutions for Vision Systems, 8-1-8-22, 2022
32022
AI-Powered Biodiversity Assessment: Species Classification via DNA Barcoding and Deep Learning
L Nanni, D Cuza, S Brahnam
Technologies 12 (12), 240, 2024
12024
Deep Semantic Segmentation in Skin Detection.
D Cuza, A Loreggia, A Lumini, L Nanni
ESANN, 2022
12022
Sample Size for Training and Testing: Segment Anything Models and Supervised Approaches
D Cuza, C Fantozzi, L Nanni, D Fusaro, GZ Felipe, S Brahnam
Advances in Intelligent Healthcare Delivery and Management: Research Papers …, 2024
2024
Creazione di immagini artificiali per la segmentazione semantica negli esami di colonscopia.
D CUZA
An Empirical Study on Segmentation Methods with Deep Ensembles and Data Augmentation
D CUZA
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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