Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation | ✓ Link | 0.9684 | | | 0.9343 | | | DUCK-Net | 2022-07-16 |
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation | ✓ Link | 0.961 | | | 0.926 | | | RAPUNet | 2024-09-16 |
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation | ✓ Link | 0.9521 | | | | | | EMCAD | 2024-05-11 |
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation | ✓ Link | 0.951 | | | 0.911 | | | RaBiT | 2023-07-12 |
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model | ✓ Link | 0.951 | | | 0.909 | | | Yolo-SAM 2 | 2024-09-14 |
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis | | 0.950 | | | 0.907 | | | UGCANet | 2023-07-12 |
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video | ✓ Link | 0.949 | | | 0.907 | | | ESFPNet-L | 2022-07-15 |
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging | ✓ Link | 0.9488 | | | | | | FCBFormer | 2024-12-17 |
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation | ✓ Link | 0.948 | 0.006 | | 0.906 | | | DuAT | 2022-12-21 |
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures | | 0.948 | | | 0.902 | | | SegMed | 2025-01-31 |
Using DUCK-Net for Polyp Image Segmentation | ✓ Link | 0.9478 | | | 0.9009 | | | DUCK-Net | 2023-11-03 |
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation | ✓ Link | 0.947 | | | 0.903 | | | ColonFormer | 2022-05-17 |
FCN-Transformer Feature Fusion for Polyp Segmentation | ✓ Link | 0.9469 | | | 0.9020 | | | FCBFormer | 2022-08-17 |
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation | ✓ Link | 0.9468 | | | 0.9018 | | | PVT-GCASCADE | 2023-10-24 |
Stepwise Feature Fusion: Local Guides Global | ✓ Link | 0.9447 | | | 0.8995 | | | SSFormer-L | 2022-03-07 |
Medical Image Segmentation via Cascaded Attention Decoding | ✓ Link | 0.9434 | | | 0.8998 | | | PVT-CASCADE | 2023-01-03 |
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection | ✓ Link | 0.942 | | | 0.895 | | | UniNet | 2025-02-28 |
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation | ✓ Link | 0.9420 | | | | | | MSRF-Net | 2021-05-16 |
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN | ✓ Link | 0.9419 | | | 0.9068 | | | Hi-gMISnet | 2024-05-20 |
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention | ✓ Link | 0.9390 | | | 0.8950 | | | MADGNet | 2024-05-10 |
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation | ✓ Link | 0.939 | | | | | | HarDNet-DFUS | 2022-09-15 |
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation | ✓ Link | 0.938 | 0.006 | | 0.894 | | | MEGANet(Res2Net-50) | 2023-09-06 |
Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation | ✓ Link | 0.938 | | | 0.890 | | | ADSNet | 2024-05-13 |
Training on Polar Image Transformations Improves Biomedical Image Segmentation | ✓ Link | 0.9374 | | | 0.8977 | | | Polar U-Net | 2021-09-29 |
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects | ✓ Link | 0.936 | 0.007 | 0.954 | 0.887 | 0.991 | | CaraNet | 2021-08-16 |
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation | ✓ Link | 0.9355 | | | | | | FANet | 2021-03-31 |
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation | ✓ Link | 0.934 | | | | | | TransFuse-L | 2021-02-16 |
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation | | 0.933 | 0.007 | 0.956 | 0.891 | 0.985 | | COMMA (Res2Net-50) | 2022-02-17 |
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS | ✓ Link | 0.9320 | | | | | | HarDNet-MSEG | 2021-01-18 |
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation | | 0.931 | | | 0.879 | | | SAM-EG | 2024-06-21 |
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation | ✓ Link | 0.93 | 0.008 | | 0.885 | | | MEGANet(ResNet-34) | 2023-09-06 |
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation | ✓ Link | 0.926 | | | | | | UACANet-L | 2021-07-06 |
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation | ✓ Link | 0.925 | | | 0.872 | | | KDAS | 2023-12-13 |
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation | ✓ Link | 0.9239 | | | | | | DoubleUNet | 2020-06-08 |
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning | ✓ Link | 0.9203 | | | | | | ResUNet++ + CRF | 2020-11-15 |
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation | ✓ Link | 0.918 | | | | | | TransFuse-S | 2021-02-16 |
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation | ✓ Link | 0.9170 | | | | | | AG-CUResNeSt | 2021-05-02 |
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation | | 0.916 | 0.008 | 0.947 | 0.871 | 0.979 | | COMMA (ResNet-50) | 2022-02-17 |
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation | ✓ Link | 0.916 | | | | | | UACANet-S | 2021-07-06 |
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation? | ✓ Link | 0.915 | | | 0.86 | | 0.91 | Polyp-SAM++ | 2023-08-12 |
Dual Cross-Attention for Medical Image Segmentation | ✓ Link | 0.9086 | | | 0.8347 | | | DoubleUnet-DCA | 2023-03-30 |
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation | ✓ Link | 0.9020 | | | | | | ResUNet++ + TTA | 2021-07-26 |
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation | ✓ Link | 0.9017 | | | | | | ResUNet++ + CRF+ TTA | 2021-07-26 |
PraNet: Parallel Reverse Attention Network for Polyp Segmentation | ✓ Link | 0.8990 | | | | | | PraNet | 2020-06-13 |
U-Net: Convolutional Networks for Biomedical Image Segmentation | ✓ Link | 0.8230 | | | | | | U-Net | 2015-05-18 |
ResUNet++: An Advanced Architecture for Medical Image Segmentation | ✓ Link | 0.7955 | | | | | | ResUNet++ | 2019-11-16 |
UNet++: A Nested U-Net Architecture for Medical Image Segmentation | ✓ Link | 0.7940 | | | | | | U-Net++ | 2018-07-18 |
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images | | | | | 0.8507 | | | M3FPolypSegNet | 2023-10-09 |