CVC-ClinicDB

Overview edit

Variants: CVC-ClinicDB

Associated Benchmarks

This dataset is used in 1 benchmark:

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

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging (2024) -
• Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model (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) -
• Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention (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) -
• M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images (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) -
• DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation (2022) -
• HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation (2022) -
• FCN-Transformer Feature Fusion for Polyp Segmentation (2022) -
• Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation (2022) -
• ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video (2022) -