Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Maria Giovanna Taccogna"'
Autor:
Alfonso Mastropietro, Nicola Casali, Maria Giovanna Taccogna, Maria Grazia D’Angelo, Giovanna Rizzo, Denis Peruzzo
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 580 (2024)
Muscular dystrophies present diagnostic challenges, requiring accurate classification for effective diagnosis and treatment. This study investigates the efficacy of deep learning methodologies in classifying these disorders using skeletal muscle MRI
Externí odkaz:
https://doaj.org/article/ff9a5d1373894a00afd11070fd080e9a
Autor:
Nicola Altini, Emilia Puro, Maria Giovanna Taccogna, Francescomaria Marino, Simona De Summa, Concetta Saponaro, Eliseo Mattioli, Francesco Alfredo Zito, Vitoantonio Bevilacqua
Publikováno v:
Bioengineering, Vol 10, Iss 4, p 396 (2023)
The segmentation and classification of cell nuclei are pivotal steps in the pipelines for the analysis of bioimages. Deep learning (DL) approaches are leading the digital pathology field in the context of nuclei detection and classification. Neverthe
Externí odkaz:
https://doaj.org/article/ad99363331c948249ed69c3ae29f1b5d
Autor:
Nicola Altini, Antonio Brunetti, Emilia Puro, Maria Giovanna Taccogna, Concetta Saponaro, Francesco Alfredo Zito, Simona De Summa, Vitoantonio Bevilacqua
Publikováno v:
Bioengineering, Vol 9, Iss 9, p 475 (2022)
Nuclei identification is a fundamental task in many areas of biomedical image analysis related to computational pathology applications. Nowadays, deep learning is the primary approach by which to segment the nuclei, but accuracy is closely linked to
Externí odkaz:
https://doaj.org/article/a98f1b273da14ef0845b7839f300f72f