# Image Classification on Urinary stones dataset (5-fold cross-validation) Source: [Image Classification on Urinary stones dataset (5-fold cross-validation)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:29:51.497Z Evaluation of Image Classification performance on the Urinary stones dataset, utilizing a 5-fold cross-validation setup and reporting Accuracy, Precision, F1-Score, and Sensitivity. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Image Classification | | Dataset (including any stated split) | Urinary stones dataset (5-fold cross-validation) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [Sensitivity](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | LEPD-Net | 94.98 | Not recorded | 68fa73ed1e209131cea5eea0 | | ARLNet | 93.48 | Not recorded | 68fa73ed1e209131cea5eea0 | | MobileNetV3 | 93.28 | Not recorded | 68fa73ed1e209131cea5eea0 | | SMPConv-T | 93.21 | Not recorded | 68fa73ed1e209131cea5eea0 | | ResNet18 | 92.81 | Not recorded | 68fa73ed1e209131cea5eea0 | | Conformer | 92.58 | Not recorded | 68fa73ed1e209131cea5eea0 | | SwinTransformer | 91.6 | Not recorded | 68fa73ed1e209131cea5eea0 | | RepLKNet-B | 90.88 | Not recorded | 68fa73ed1e209131cea5eea0 | | MAE | 88.66 | Not recorded | 68fa73ed1e209131cea5eea0 | ### LEPD-Net Accuracy: 94.98. Result ID: 699327223a6c314849141727. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### ARLNet Accuracy: 93.48. Result ID: 699327223a6c314849141720. [Reporting paper]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MobileNetV3 Accuracy: 93.28. Result ID: 699327223a6c314849141721. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### SMPConv-T Accuracy: 93.21. Result ID: 699327223a6c314849141726. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### ResNet18 Accuracy: 92.81. Result ID: 699327223a6c31484914171f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### Conformer Accuracy: 92.58. Result ID: 699327223a6c314849141723. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### SwinTransformer Accuracy: 91.6. Result ID: 699327223a6c314849141722. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### RepLKNet-B Accuracy: 90.88. Result ID: 699327223a6c314849141725. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MAE Accuracy: 88.66. Result ID: 699327223a6c314849141724. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Input resolution":"224x224","Evaluation protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.