Correction: Deep fusion of gray level co-occurrence matrices for lung nodule classification.
[This corrects the article DOI: 10.1371/journal.pone.0274516.].
Saved in:
| Main Author: | PLOS One Editors |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0324959 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Revolutionizing classification: A novel gray level co-occurrence matrix and statistical feature-based segmentation approach
by: Abdelwahed Motwakel
Published: (2025-01-01) -
Gray-Level Co-Occurrence Matrix Uniformity Correction Algorithm in Positron Emission Tomographic Image: A Phantom Study
by: Kyuseok Kim, et al.
Published: (2025-01-01) -
Classification of Lung Nodule Using Hybridized Deep Feature Technique
by: Malin Bruntha, et al.
Published: (2020-12-01) -
Deep cross entropy fusion for pulmonary nodule classification based on ultrasound Imagery
by: Xian Wang, et al.
Published: (2025-04-01) -
Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification
by: Keming Mao, et al.
Published: (2018-01-01)