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Pathological Classification (6 classes) on ICBHI challenge dataset 2017 (test)
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99.05
Accuracy
Proposed model
97.542
97.9335
98.325
98.7165
Sep 8, 2020
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Proposed model
Size (after training)=...
2020.09
99.05
MobileNet (v2)
Size (after training)=...
2020.09
98.89
NASNet
Size (after training)=...
2020.09
98.73
ShuffleNet (v2)
Size (after training)=...
2020.09
98.27
AlexNet
Size (after training)=...
2020.09
98.237
VGG16
Size (after training)=...
2020.09
97.6
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