Accuracy: 72.44
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Medical Image Classification
Medical Image Classification is a task in medical image analysis that involves classifying medical images, such as X-rays, MRI scans, and CT scans, into different categories based on the type of image or the presence of specific structures or diseases. The goal is to use computer algorithms to automatically identify and classify medical images based on their content, which can help in diagnosis, treatment planning, and disease monitoring.
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12개논문
Accuracy (%): 94.72F1-Score: 97.09Precision: 100.00Specificity: 99.34
Top-1 Accuracy (%): 94.87
Accuracy (%): 94.41F1-Score: 96.90Precision: 99.87Specificity: 99.30
Accuracy: 83%AUC: 87%Specificity: 86Sensitivity: 0.86
Accuracy (%): 95.59F1-Score: 97.48Precision: 99.89Specificity: 99.45
F1 score: 99.37
Accuracy (%): 95.42F1-Score: 97.39Precision: 99.97Specificity: 99.43
Accuracy (%): 93.37F1-Score: 96.25Precision: 99.93Specificity: 99.17
Accuracy (%): 95.46F1-Score: 97.46Precision: 99.91Specificity: 99.43
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