Corrigendum to "A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks".

Comput Intell Neurosci

Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China.

Published: September 2018

The article DOI: 10.1155/2018/4149103 had inaccuracies that required correction.* -
The corrections aim to clarify and improve the information presented in the original article.* -
This ensures that readers have access to accurate and reliable content moving forward.*

[This corrects the article DOI: 10.1155/2018/4149103.].

Download full-text PDF	Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157104	PMC
http://dx.doi.org/10.1155/2018/4967290	DOI Listing

Publication Analysis

corrigendum composite

composite model

model wound

wound segmentation

segmentation based

based traditional

traditional methods

methods deep

deep neural

neural networks"

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!