Image Classification on Kaggle chest CT scan dataset (test) benchmark leaderboard · SOTA2 Research

Image Classification on Kaggle chest CT scan dataset (test)

0.5303Test LossResNet152

Evaluation Results

Method	Links
ResNet1522026.04		0.5303	77.78	78	81	79	1.0954	77.78
ResNet1522026.04		0.5643	75.56	77	80	78	1.1561	75.56
Proposed Model2026.04		0.6405	84.44	85	87	86	0.9562	84.44
Proposed Model2026.04		0.6794	63.49	67	70	67	1.4606	63.49
VGG162026.04		0.7083	75.22	76	75	75	1.1533	75.22
VGG162026.04		0.8649	67.94	69	70	69	1.2742	67.94
MobileNet V22026.04		0.9228	61.27	65	69	64	1.2574	61.27
MobileNet V22026.04		0.929	58.41	65	66	62	1.3916	58.41
Proposed Model2026.04		0.9572	70.79	73	76	73	1.3117	70.79
MobileNet V22026.04		1.2249	52.06	67	62	55	1.3464	52.06
VGG162026.04		1.3323	62.54	63	66	63	1.2737	62.54
ResNet1522026.04		1.6644	65.08	78	67	62	1.4387	65.08
Inception V32026.04		9.256	36.51	44	45	39	1.4265	36.51
Inception V32026.04		11.9857	45.71	51	53	47	1.7229	45.71
Inception V32026.04		12.4272	42.86	49	55	45	1.4939	42.86