Medical Image Classification on OCT benchmark leaderboard · SOTA2 Research

Medical Image Classification on OCT

96.34ResNet AccuracyMH-pFLGB

Evaluation Results

Method	Links
MH-pFLGB2024.06		96.34	95.07	99.5	98.64	88.24	85.39	96.72	95.73	97.14	96.39	96.74	80.55	90.88	90.2	94.96	92.88	95.06	91.86
KT-PFL2024.06		95.32	93.92	96.5	96.3	85.94	84.66	91.36	90.67	95.5	94.3	96.22	80.99	90.38	87.94	92.7	90.22	92.99	89.88
pFedDF2024.06		93.64	91.52	92	91.3	88.1	83.27	86.3	82.39	94.1	89.52	93.1	72.49	89.7	88.29	96.1	92.34	91.63	86.39
Only Local Training2024.06		91.62	90.99	89.22	89.18	86.94	82.53	84.72	83.61	93.88	93.11	91.4	72.36	90.54	90	92.62	90.77	90.12	86.57
FedMD2024.06		88.28	83.49	88.56	85.31	82.46	78.22	82.54	80.21	85.52	83.21	92.54	75.42	92.54	91.19	95.52	92.93	88.5	83.75
FedDF2024.06		85.4	82.29	91.3	89.36	86.5	82.41	80.54	77.49	89.26	87.33	91.78	73.61	89.58	88.31	96.3	93.08	88.83	84.24
DS-PFL2024.06		84.32	80.79	86.4	86.04	87.4	83.56	83.5	74.49	88.74	88.21	89.98	75.32	85.92	82.64	88.14	87.31	86.8	82.3