Medical Image Segmentation On Kvasir
Metrics
DSC
Results
Performance results of various models on this benchmark
Model Name | DSC | Paper Title | Repository |
|---|---|---|---|
| DoubleUNet | 0.9038 | DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation | |
| efficientnetb1 | 0.948 | Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images | |
| UNet | 0.9158 | Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy |
0 of 3 row(s) selected.