Material Decomposition on Abdominal dataset benchmark leaderboard · SOTA2 Research

Material Decomposition on Abdominal dataset

38.48Water PSNRDECT-DRNet

Evaluation Results

Method	Links
DECT-DRNet2026.06		38.48	93.29	50.21	99.76	44.35	96.53
DECT-DRNet2026.06		36.5	91.35	48.27	99.72	42.39	95.54
GECCU-Net2026.06		36.42	92.1	48.07	99.93	42.25	96.02
DnCNN2026.06		36.19	90.61	48.49	99.85	42.34	95.23
Incept-Net2026.06		35.18	89.33	47.23	99.77	41.21	94.55
Clark-UNet2026.06		34.85	88.54	46.93	99.93	40.89	94.24
FC-DenseNet2026.06		34.66	90.61	43.13	99.87	38.9	95.24
GECCU-Net2026.06		32.41	86.92	43.02	99.84	37.72	93.38
DnCNN2026.06		32.18	86.83	43.39	99.75	37.79	93.29
FC-DenseNet2026.06		30.78	86.61	38.7	99.67	34.74	93.14
Incept-Net2026.06		30.42	81.91	43.11	97.4	36.77	89.66
Clark-UNet2026.06		30.13	82.41	41.27	99.73	35.7	91.07