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SotA/Medical/Medical Image Segmentation/ISIC 2018

Medical Image Segmentation on ISIC 2018

Metric: mean Dice (higher is better)

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#Model↕mean Dice▼Extra DataPaperDate↕Code
1Polar Res-U-Net++0.9253No--Code
2DuAT0.923NoDuAT: Dual-Aggregation Transformer Network for M...2022-12-21Code
3ProMISe0.921NoProMISe: Promptable Medical Image Segmentation u...2024-03-07Code
4RMSM UNet + DF-RAM +EF-RAM0.9152NoAutomated skin lesion segmentation using multi-s...2021-11-16-
5BAT0.912NoBoundary-aware Transformers for Skin Lesion Segm...2021-10-08Code
6SegMed0.911No---
7MobileUNETR0.9074NoMobileUNETR: A Lightweight End-To-End Hybrid Vis...2024-09-04Code
8DermoSegDiff-A0.9005NoDermoSegDiff: A Boundary-aware Segmentation Diff...2023-08-05Code
9DoubleU-Net0.8962NoDoubleU-Net: A Deep Convolutional Neural Network...2020-06-08Code
10MCGU-Net0.895NoMulti-level Context Gating of Embedded Collectiv...2020-03-10Code
11MSRF-Net0.8813NoMSRF-Net: A Multi-Scale Residual Fusion Network ...2021-05-16Code
12Attn U-Net + Multi-Input + FTL0.856NoA Novel Focal Tversky loss function with improve...2018-10-18Code
13AIM++ (256x256, 1.5m parameters, 10% labeled data, no pretraining)0.85NoInconsistency Masks: Removing the Uncertainty fr...2024-01-25Code
14BCDU-net0.847NoBi-Directional ConvLSTM U-Net with Densley Conne...2019-08-31Code
15U-Net + FTL0.829NoA Novel Focal Tversky loss function with improve...2018-10-18Code
16Attn U-Net + DL0.806NoA Novel Focal Tversky loss function with improve...2018-10-18Code