लोड हो रहा है...
Automatic Pharyngeal Phase Recognition in Untrimmed Videofluoroscopic Swallowing Study Using Transfer Learning with Deep Convolutional Neural Networks
Background: Video fluoroscopic swallowing study (VFSS) is considered as the gold standard diagnostic tool for evaluating dysphagia. However, it is time consuming and labor intensive for the clinician to manually search the recorded long video image frame by frame to identify the instantaneous swallo...
में बचाया:
| में प्रकाशित: | Diagnostics (Basel) |
|---|---|
| मुख्य लेखकों: | , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
MDPI
2021
|
| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7918932/ https://ncbi.nlm.nih.gov/pubmed/33668528 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11020300 |
| टैग : |
टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|