Kvasir-SEG

Overview edit

Variants: Kvasir-SEG

Associated Benchmarks

This dataset is used in 1 benchmark:

• Medical Image Segmentation - Metrics: mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure, Precision, Recall

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation (2025) -
• S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging (2024) -
• Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model (2024) -
• EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder (2024) -
• SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation (2024) -
• Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation (2024) -
• EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation (2024) -
• ProMISe: Promptable Medical Image Segmentation using SAM (2024) -
• KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation (2023) -
• Using DUCK-Net for Polyp Image Segmentation (2023) -
• G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation (2023) -
• MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation (2023) -
• Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation? (2023) -
• RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation (2023) -
• UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis (2023) -
• Dual Cross-Attention for Medical Image Segmentation (2023) -
• TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (2023) -
• FCB-SwinV2 Transformer for Polyp Segmentation (2023) -
• Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation (2023) -
• RUPNet: Residual upsampling network for real-time polyp segmentation (2023) -