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Seizure Detection on TUH EEG v1.5.2 (test)

100TPR

CNN1D + LSTM

Updated 4d ago

Evaluation Results

Method
CNN1D + LSTM 2022.01	100	-	-	52	72.13	-	-	-
CNN1D + BLSTM 2022.01	100	-	-	48	82.44	-	-	-
ResNet18 2022.01	100	-	-	51	76.15	-	-	-
DenseNet 2022.01	100	-	-	49	85.19	-	-	-
ChronoNet 2022.01	100	-	-	52	74.34	-	-	-
TDNN+LSTM 2022.01	100	-	-	52	80.55	-	-	-
Feature Transformer 2022.01	100	-	-	53	73.22	-	-	-
Guided Feature Transformer 2022.01	100	-	-	52	72.13	-	-	-
MobileNetV3 2022.01	86	-	-	43	739.24	-	-	-
AlexNet 2022.01	86	-	-	62	93.54	-	-	-
ResNet-short + Dilation + LSTM 2022.01	84	0.91	0.9	83	-	-	-	-
ResNet-short + LSTM 2022.01	83	0.92	0.91	85	-	-	-	-
MobileNetV3 + LSTM 2022.01	83	0.89	0.87	78	-	-	-	-
DenseNet 2022.01	78	0.82	0.79	73	-	-	-	-
MobileNetV3 2022.01	77	0.85	0.83	76	-	-	-	-
CNN2D+BLSTM 2022.01	76	0.87	0.86	85	-	-	-	-
ResNet-short + LSTM 2022.01	75	-	-	84	64.9	-	-	-
ResNet18 2022.01	75	0.81	0.78	75	-	-	-	-
CNN1D + BLSTM 2022.01	73	0.8	0.78	71	-	-	-	-
TDNN+LSTM 2022.01	72	0.8	0.78	73	-	-	-	-
CNN2D+BLSTM 2022.01	70	-	-	86	47.18	-	-	-
AlexNet 2022.01	70	0.83	0.81	81	-	-	-	-
Guided Feature Transformer 2022.01	70	0.82	0.81	80	-	-	-	-
CNN1D + LSTM 2022.01	69	0.8	0.79	75	-	-	-	-
ResNet-short + Dilation + LSTM 2022.01	62	-	-	89	35.7	-	-	-
ChronoNet 2022.01	58	0.59	0.57	56	-	-	-	-
MobileNetV3 + LSTM 2022.01	55	-	-	94	15.73	-	-	-
Feature Transformer 2022.01	46	0.6	0.6	72	-	-	-	-
ResNet-short + LSTM 2022.01	40	-	-	100	1.68	-	-	-
ResNet-short + Dilation + LSTM 2022.01	37	-	-	100	1.67	-	-	-
MobileNetV3 + LSTM 2022.01	34	-	-	99	2.61	-	-	-
CNN2D+BLSTM 2022.01	30	-	-	100	2.06	-	-	-
Guided Feature Transformer 2022.01	28	-	-	99	2.89	-	-	-
MobileNetV3 2022.01	23	-	-	100	2.1	-	-	-
CNN1D + BLSTM 2022.01	22	-	-	99	4.71	-	-	-
CNN1D + LSTM 2022.01	21	-	-	99	6.6	-	-	-
AlexNet 2022.01	20	-	-	100	2.09	-	-	-
TDNN+LSTM 2022.01	20	-	-	98	18.66	-	-	-
DenseNet 2022.01	19	-	-	99	4.51	-	-	-
ResNet18 2022.01	18	-	-	99	7.47	-	-	-
Feature Transformer 2022.01	16	-	-	89	110.96	-	-	-
ChronoNet 2022.01	13	-	-	93	85.5	-	-	-
CNN2D+BLSTM 2022.01	-	-	-	-	-	0.44	0.58	-
CNN2D+BLSTM 2022.01	-	-	-	-	-	0.57	0.64	-
CNN2D+BLSTM 2022.01	-	-	-	-	-	-	-	13.69
ResNet-short + LSTM 2022.01	-	-	-	-	-	0.49	0.58	-
ResNet-short + LSTM 2022.01	-	-	-	-	-	0.62	0.65	-
ResNet-short + LSTM 2022.01	-	-	-	-	-	-	-	15.23
ResNet-short + Dilation + LSTM 2022.01	-	-	-	-	-	0.43	0.5	-
ResNet-short + Dilation + LSTM 2022.01	-	-	-	-	-	0.58	0.61	-
ResNet-short + Dilation + LSTM 2022.01	-	-	-	-	-	-	-	7.76
MobileNetV3 + LSTM 2022.01	-	-	-	-	-	0.44	0.51	-
MobileNetV3 + LSTM 2022.01	-	-	-	-	-	0.53	0.59	-
MobileNetV3 + LSTM 2022.01	-	-	-	-	-	-	-	15.83
CNN1D + LSTM 2022.01	-	-	-	-	-	0.24	0.35	-
CNN1D + LSTM 2022.01	-	-	-	-	-	0.33	0.4	-
CNN1D + LSTM 2022.01	-	-	-	-	-	-	-	42.84
CNN1D + BLSTM 2022.01	-	-	-	-	-	0.33	0.42	-
CNN1D + BLSTM 2022.01	-	-	-	-	-	0.56	0.51	-
CNN1D + BLSTM 2022.01	-	-	-	-	-	-	-	43.64
ResNet18 2022.01	-	-	-	-	-	0.24	0.28	-
ResNet18 2022.01	-	-	-	-	-	0.3	0.34	-
ResNet18 2022.01	-	-	-	-	-	-	-	20.99
MobileNetV3 2022.01	-	-	-	-	-	0.38	0.46	-
MobileNetV3 2022.01	-	-	-	-	-	0.47	0.55	-
MobileNetV3 2022.01	-	-	-	-	-	-	-	15.66
AlexNet 2022.01	-	-	-	-	-	0.46	0.55	-
AlexNet 2022.01	-	-	-	-	-	0.56	0.64	-
AlexNet 2022.01	-	-	-	-	-	-	-	12.07
DenseNet 2022.01	-	-	-	-	-	0.29	0.36	-
DenseNet 2022.01	-	-	-	-	-	0.37	0.45	-
DenseNet 2022.01	-	-	-	-	-	-	-	18.74
ChronoNet 2022.01	-	-	-	-	-	0.2	0.25	-
ChronoNet 2022.01	-	-	-	-	-	0.25	0.34	-
ChronoNet 2022.01	-	-	-	-	-	-	-	63.78
TDNN+LSTM 2022.01	-	-	-	-	-	0.28	0.33	-
TDNN+LSTM 2022.01	-	-	-	-	-	0.36	0.41	-
TDNN+LSTM 2022.01	-	-	-	-	-	-	-	46.72
Feature Transformer 2022.01	-	-	-	-	-	0.05	0.11	-
Feature Transformer 2022.01	-	-	-	-	-	0.08	0.13	-
Feature Transformer 2022.01	-	-	-	-	-	-	-	63.78
Guided Feature Transformer 2022.01	-	-	-	-	-	0.43	0.48	-
Guided Feature Transformer 2022.01	-	-	-	-	-	0.49	0.55	-
Guided Feature Transformer 2022.01	-	-	-	-	-	-	-	19.95