Image Segmentation on Gastric Histopathology Image Dataset Tissue-scale
91.6AccuracyDCMEN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCMENTraining images=350, Test images=1502020.03 | 91.6 | — | |
| RLTraining images=1400, Validation images=400, Test images=1002020.03 | 91.45 | 11 | |
| RMDLTraining images=408, Test images=2002020.03 | 86.5 | 93.79 | |
| SWBBackbone=AlexNet, Training images=300, Test images=1002020.03 | 82.1 | 244.3 | |
| HCRFTraining images=280, Validation images=140, Test images=1402020.03 | 78.91 | 61.6 | |
| FCNBackbone=GoogLeNet, Training images=300, Test images=1002020.03 | 78.5 | 14.8 | |
| FCNBackbone=AlexNet, Training images=300, Test images=1002020.03 | 65.7 | 12.5 |