| Training on Polar Image Transformations Improves Biomedical Image Segmentation | ✓ Link | 0.9253 | | | Polar Res-U-Net++ | 2021-09-29 |
| DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation | ✓ Link | 0.923 | | 0.867 | DuAT | 2022-12-21 |
| ProMISe: Promptable Medical Image Segmentation using SAM | ✓ Link | 0.921 | | 0.850 | ProMISe | 2024-03-07 |
| Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism | | 0.9152 | | | RMSM UNet + DF-RAM +EF-RAM | 2021-11-16 |
| Boundary-aware Transformers for Skin Lesion Segmentation | ✓ Link | 0.912 | | 0.843 | BAT | 2021-10-08 |
| From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures | | 0.911 | | 0.841 | SegMed | 2025-01-31 |
| MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation | ✓ Link | 0.9074 | | 0.8456 | MobileUNETR | 2024-09-04 |
| DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation | ✓ Link | 0.9005 | | | DermoSegDiff-A | 2023-08-05 |
| DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation | ✓ Link | 0.8962 | | | DoubleU-Net | 2020-06-08 |
| Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation | ✓ Link | 0.895 | | | MCGU-Net | 2020-03-10 |
| MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation | ✓ Link | 0.8813 | | | MSRF-Net | 2021-05-16 |
| A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation | ✓ Link | 0.856 | | | Attn U-Net + Multi-Input + FTL | 2018-10-18 |
| Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs | ✓ Link | 0.85 | | | AIM++ (256x256, 1.5m parameters, 10% labeled data, no pretraining) | 2024-01-25 |
| Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions | ✓ Link | 0.847 | | | BCDU-net | 2019-08-31 |
| A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation | ✓ Link | 0.829 | | | U-Net + FTL | 2018-10-18 |
| A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation | ✓ Link | 0.806 | | | Attn U-Net + DL | 2018-10-18 |
| Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions | ✓ Link | | 0.851 | | BCDU-Net (d=3) | 2019-08-31 |