Interpretable Multi-Label Classification for Tibiofibula Fracture 2D CT Images with Selective Attention and Data Augmentation
Background: Tibiofibula fractures occur across all age groups, and postoperative complications are frequent. An accurate and rapid classification methodology for these fractures could significantly assist physicians. Clinically, tibiofibula fractures occur at various locations, and the fracture type...
Saved in:
| Main Authors: | Chan Sik Han, Sun Woo Jeong, Hyung Won Kim, Seung Myung Choi, Keon Myung Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/14/23/2740 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation
by: Hajeong Lee, et al.
Published: (2025-01-01) -
A multi-label classification method for disposing incomplete labeled data and label relevance
by: Lina ZHANG, et al.
Published: (2016-08-01) -
Data Augmentation-Based Enhancement for Efficient Network Traffic Classification
by: Chang-Yui Shin, et al.
Published: (2025-01-01) -
MultiCGCN: Multi-Label Text Classification using GCNs and Heterogeneous Graphs
by: Milad Allahgholi, et al.
Published: (2024-09-01) -
Unsupervised PolSAR Image Classification Based on Superpixel Pseudo-Labels and a Similarity-Matching Network
by: Lei Wang, et al.
Published: (2024-11-01)