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SotA/Medical/Medical Image Segmentation/SUN-SEG-Easy (Unseen)

Medical Image Segmentation on SUN-SEG-Easy (Unseen)

Metric: Sensitivity (higher is better)

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#Model↕Sensitivity▼Extra DataPaperDate↕Code
1YOLO-SAM 283.7NoSelf-Prompting Polyp Segmentation in Colonoscopy...2024-09-14Code
2SALI0.811NoSALI: Short-term Alignment and Long-term Interac...2024-06-19Code
3AutoSAM0.672NoAutoSAM: Adapting SAM to Medical Images by Overl...2023-06-10-
4PNS+0.63NoVideo Polyp Segmentation: A Deep Learning Perspe...2022-03-27Code
52/3D0.603No---
6ACSNet0.601No---
7PNSNet0.574NoProgressively Normalized Self-Attention Network ...2021-05-18Code
8MAT0.542No--Code
9PraNet0.524NoPraNet: Parallel Reverse Attention Network for P...2020-06-13Code
10SANet0.521NoShallow Attention Network for Polyp Segmentation2021-08-02Code
11FSNet0.493NoFull-Duplex Strategy for Video Object Segmentation2021-08-06Code
12UNet++0.457NoUNet++: A Nested U-Net Architecture for Medical ...2018-07-18Code
13UNet0.42NoU-Net: Convolutional Networks for Biomedical Ima...2015-05-18Code
14PCSA0.398No---
15COSNet0.359NoSee More, Know More: Unsupervised Video Object S...2020-01-19Code
16DCF0.34No--Code
17AMD0.222NoThe Emergence of Objectness: Learning Zero-Shot ...2021-11-11Code