Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement

Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement

Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatically learn from massive amounts of data and can im...

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Xehetasun bibliografikoak
Egile Nagusiak: Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, Martina Maggi, Felice Crocetto, Gian Maria Busetto, Francesco del Giudice, Daniela Terracciano, Giuseppe Lucarelli, Francesco Lasorsa, Michele Catellani, Antonio Brescia, Francesco Alessandro Mistretta, Stefano Luzzago, Mattia Luca Piccinelli, Mihai Dorin Vartolomei, Barbara Alicja Jereczek-Fossa, Gennaro Musi, Emanuele Montanari, Ottavio de Cobelli, Octavian Sabin Tataru
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2023-07-01
Saila:Diagnostics
Gaiak:
artificial intelligence
machine learning
deep learning
diagnosis
bladder cancer
Sarrera elektronikoa:https://www.mdpi.com/2075-4418/13/13/2308

Internet

https://www.mdpi.com/2075-4418/13/13/2308

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