Table 8 The contrast between the proposed and other state-of-the-art studies in predicting fractures using radiographic images
From: Novel transfer learning based bone fracture detection using radiographic images
Reference | Year | Technique | Accuracy |
|---|---|---|---|
[13] | 2020 | CNN, VGG16 | 96 |
[14] | 2020 | GoogLeNet-inception v3, M1, M2 | 86.78% |
[16] | 2021 | CNN | 98% |
[15] | 2022 | wrist fracture detection-combo (WFD-C) | 86.39% |
[18] | 2023 | Naive Bayes,, Nearest Neighbors,SVM, Random Forest, Decision Tree | 92.85% |
[19] | 2024 | Binary Classification | 96.5% |
This study | 2024 | LGB, LR, RF, KNN | 99%, 99%, 98%, 98% |