Pezzano G - Search Results

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CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation.

Pezzano G, Díaz O, Ripoll VR, Radeva P. Pezzano G, et al. Comput Biol Med. 2021 Sep;136:104689. doi: 10.1016/j.compbiomed.2021.104689. Epub 2021 Jul 31. Comput Biol Med. 2021. PMID: 34364263 Free PMC article.

CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation.

Pezzano G, Ribas Ripoll V, Radeva P. Pezzano G, et al. Comput Methods Programs Biomed. 2021 Jan;198:105792. doi: 10.1016/j.cmpb.2020.105792. Epub 2020 Oct 15. Comput Methods Programs Biomed. 2021. PMID: 33130496

[Advantages in the ultrasound guided central venous catherization (new notes of technique)].

Caiozzo M, Cocchiara G, Greco G, Vaglica R, Bartolotta TV, Pezzano G, Leo P, Modica G. Caiozzo M, et al. Among authors: pezzano g. Ann Ital Chir. 2004 May-Jun;75(3):345-7. Ann Ital Chir. 2004. PMID: 15605524 Italian.

Comparison of central venous catheterization with and without ultrasound guide.

Cajozzo M, Quintini G, Cocchiera G, Greco G, Vaglica R, Pezzano G, Barbera V, Modica G. Cajozzo M, et al. Among authors: pezzano g. Transfus Apher Sci. 2004 Dec;31(3):199-202. doi: 10.1016/j.transci.2004.05.006. Transfus Apher Sci. 2004. PMID: 15556467

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