EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder

Benchmark Model Rank Results
medical-image-segmentation-on-kvasir-segEffiSegNet-B5#2mean Dice: 0.9488mIoU: 0.9065F-measure: 0.9513Precision: 0.9713…
medical-image-segmentation-on-kvasir-segEffiSegNet-B4#3mean Dice: 0.9483mIoU: 0.9056F-measure: 0.9552Precision: 0.9679…