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

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

Metric: mean E-measure (higher is better)

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#Model↕mean E-measure▼Extra DataPaperDate↕Code
1YOLO-SAM 293.8NoSelf-Prompting Polyp Segmentation in Colonoscopy...2024-09-14Code
2SALI0.92NoSALI: Short-term Alignment and Long-term Interac...2024-06-19Code
3AutoSAM0.855NoAutoSAM: Adapting SAM to Medical Images by Overl...2023-06-10-
4PNS+0.798NoVideo Polyp Segmentation: A Deep Learning Perspe...2022-03-27Code
5ACSNet0.779No---
62/3D0.777No---
7PraNet0.753NoPraNet: Parallel Reverse Attention Network for P...2020-06-13Code
8SANet0.745NoShallow Attention Network for Polyp Segmentation2021-08-02Code
9PNSNet0.744NoProgressively Normalized Self-Attention Network ...2021-05-18Code
10MAT0.737No--Code
11FSNet0.695NoFull-Duplex Strategy for Video Object Segmentation2021-08-06Code
12PCSA0.66No---
13COSNet0.6NoSee More, Know More: Unsupervised Video Object S...2020-01-19Code
14AMD0.533NoThe Emergence of Objectness: Learning Zero-Shot ...2021-11-11Code
15DCF0.514No--Code