Medical Image Segmentation on PRAD-10K 1.0 (test) benchmark leaderboard · SOTA2 Research

Medical Image Segmentation on PRAD-10K 1.0 (test)

92.6Tooth DSCAHGNN

Evaluation Results

Method	Links
AHGNN2025.04		92.6	93.45	85.6	82.49	57.31	75.24	63.78	88.49	83.16	80.24
Atten-Unet2025.04		92.58	93.31	85.61	84.54	69.14	75.19	63.63	89.14	84.25	81.93
Unet++2025.04		92.56	93.2	85.52	85.31	57.94	78.07	64.7	90.38	72.47	80.02
PRNet2025.04		92.38	93.02	88.87	82.89	78.88	78.66	63.92	92.46	88.83	84.24
MultiResUnet2025.04		91.7	92.64	79.07	82.58	45.16	66.97	61.53	76.02	82.01	75.31
ACC-Unet2025.04		91.69	92.68	83.34	78.49	41.1	71.68	63.27	79.98	76.92	75.46
EMCAD2025.04		91.62	92.4	81.98	80.44	63.26	69.52	62.36	83.48	80.41	78.39
MGFuseSeg2025.04		91.58	92.5	84.89	73.27	48.33	67.96	62.42	70.01	75.54	73.94
Unet2025.04		91.55	92.17	85.74	84.82	55.33	75.35	63.69	89.71	84.61	80.33
TransUnet2025.04		91.34	92.05	75.23	87.93	81.5	59.28	61.16	90.19	74.01	79.19
UNEXT2025.04		90.41	91.66	74.22	55.71	47.64	64.12	56.89	72.09	76.09	69.87
Swin-Unet2025.04		89.53	90.43	77.17	69.16	42.35	63.03	56.01	75.67	72.84	70.69
TinyUnet2025.04		88.62	89.92	63.47	71.37	40.09	43.69	55.27	68.19	88.64	67.6