Glaucoma Classification on retinal Glaucoma dataset (test)

99.3Accuracy

Deep Learning inspired Approach

Updated 1mo ago

Evaluation Results

Method
Deep Learning inspired Approach 2026.06	99.3	-
Optical Coherence Tomography Angiogram Images 2026.06	94.3	-
Fractal Dimensions 2026.06	93.8	-
DenseNet Features 2026.06	92.88	-
Image Processing based Approach 2026.06	92.31	-
Texture and Higher Order Spectra Features 2026.06	91	-
FiLM-Ensemble 2022.05	0.878	0.055
BatchEnsemble 2022.05	0.871	0.066
FiLM-Ensemble 2022.05	0.869	0.068
Deep Ensemble 2022.05	0.868	0.066
BatchEnsemble 2022.05	0.868	0.071
FiLM-Ensemble 2022.05	0.868	0.074
BatchEnsemble 2022.05	0.865	0.063
FiLM-Ensemble 2022.05	0.863	0.062
Deep Ensemble 2022.05	0.86	0.091
FSSD 2022.05	0.859	0.047
Deep Ensemble 2022.05	0.857	0.078
Deep Ensemble 2022.05	0.856	0.041
PNML 2022.05	0.856	0.061
SNGP 2022.05	0.847	0.064
BatchEnsemble 2022.05	0.845	0.035
Single 2022.05	0.844	0.084
Masksemble 2022.05	0.83	0.021
MC-Dropout 2022.05	0.827	0.053
Masksemble 2022.05	0.827	0.049
Masksemble 2022.05	0.817	0.063
Masksemble 2022.05	0.802	0.062
MC-Dropout 2022.05	0.8	0.046
MC-Dropout 2022.05	0.784	0.049
MIMO 2022.05	0.724	0.061
MIMO 2022.05	0.698	0.082
MIMO 2022.05	0.689	0.041
MIMO 2022.05	0.683	0.064
MC-Dropout 2022.05	0.67	0.002