A Convolutional Neural Network-based Mobile Application to Bedside Neonatal Pain Assessment-Reference-Cited by-同舟云学术

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A Convolutional Neural Network-based Mobile Application to Bedside Neonatal Pain Assessment

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
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Author:

Carlini Lucas P.,Ferreira Leonardo A.,Coutrin Gabriel A. S.,Varoto Victor V.,Heiderich Tatiany M.,Balda Rita C. X.,Barros Marina C. M.,Guinsburg Ruth,Thomaz Carlos E.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9643073/9642965/09643144.pdf?arnumber=9643144

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks;Artificial Intelligence in Medicine;2024-01

2. Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning;Lecture Notes in Computer Science;2024

3. Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units;Jornal de Pediatria;2023-11

4. Automatic assessment of pain based on deep learning methods: A systematic review;Computer Methods and Programs in Biomedicine;2023-04

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