Nasal cytology with deep learning techniques-Reference-Cited by-同舟云学术

Nasal cytology with deep learning techniques

Published:2019-02 Issue: Volume:122 Page:13-19
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Dimauro Giovanni^ORCID,Ciprandi Giorgio,Deperte Francesca,Girardi Francesco,Ladisa Enrico,Latrofa Sergio,Gelardi Matteo

Publisher

Elsevier BV

Subject

Health Informatics

Reference19 articles.

1. Atlas of Nasal Cytology for the Differential Diagnosis of Nasal Diseases;Gelardi,2012

2. Deep learning;Lecun;Nature,2015

3. Deep learning;Ian Goodfellow;MIT Press,2016

4. Rhino-cyt: a system for supporting the rhinologist in the analysis of nasal cytology;Dimauro,2018

5. Morphological classification of blood leucocytes by microscope images;Piuri;2004 IEEE Int. Conf. on Computational Intell. Meas. Syst. Appl. 2004,2004

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