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Medical Image Segmentation On Kvasir
Metrics
DSC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| 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 | |
| DoubleUNet | 0.9038 | DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation |
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