Caricamento...
Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification
BACKGROUND: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current research relying on image-based data often relies on hand coding of images, which is time-consuming and costly, ultimately limiting the scope of the study. C...
Salvato in:
| Pubblicato in: | J Med Internet Res |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
JMIR Publications
2018
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6282010/ https://ncbi.nlm.nih.gov/pubmed/30452385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/10513 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|