Medical Image Classification on MedMnist benchmark leaderboard · SOTA2 Research

Medical Image Classification on MedMnist

87.41Colon AccuracyFoundation

Evaluation Results

Method	Links
Foundation2024.04		87.41	77.4	23.51	50.37	84.62	40.55	12.92	18.64	18.9	86.22	50.05
STL2024.04		84.53	78.4	89.65	96.81	85.26	68.89	73.97	92.9	77.43	85.42	83.33
STL-KD2024.04		84.33	77.1	90.45	96.52	83.33	68.25	74.81	93.53	77.52	82.53	82.84
LoRKD2024.04		83.9	78.6	90.57	96.26	87.18	67.01	73.97	92.83	77.27	87.39	83.5
MTL-KD2024.04		82.83	75.2	90.02	95.94	83.26	64.56	74.31	92.13	76.02	86.39	82.06
MTL2024.04		80.99	77.1	89.9	95.67	83.33	65.42	74.21	91.33	76.34	86.89	82.12
Aligned-MTL2024.04		79.78	73.1	89.7	95.44	88.46	64	74.36	90.81	75.06	86.22	81.69
MoCo-MTL2024.04		76.1	69.8	80	86.55	76.92	63.89	69.18	83.82	67.81	83.87	75.79
KF2024.04		37.83	48.2	72.4	44.93	80.13	54.17	38.01	71.75	59.19	72.12	57.87