The left column is the accuracy curve. The middle column is the loss curve, and the right column is the confusion matrix. From top to bottom are 40X, 100X, 200X and 400X magnification factors.</p
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>The confusion matrix can be computed for weighted and unweighted data. For unweighted data each d...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
The left column is the accuracy curve. The middle column is the loss curve, and the right column is ...
The evaluation metrics computed from best result of the BHCNet-3 in each magnification factor and co...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The evaluation metrics computed from best result of the BHCNet-6 in each magnification factor and co...
<p>The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...
Confusion matrix for the classification of the 724 real hESC images using the CNN-Triplet architectu...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...
<p>Recall values are calculated over the rows and precision values over the columns.</p
Confusion matrix for the classification of the 724 real hESC images using the CNN architecture of De...
Confusion matrix for the classification of the 724 real hESC images using the Fused CNN-Triplet arch...
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>The confusion matrix can be computed for weighted and unweighted data. For unweighted data each d...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
The left column is the accuracy curve. The middle column is the loss curve, and the right column is ...
The evaluation metrics computed from best result of the BHCNet-3 in each magnification factor and co...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The evaluation metrics computed from best result of the BHCNet-6 in each magnification factor and co...
<p>The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...
Confusion matrix for the classification of the 724 real hESC images using the CNN-Triplet architectu...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...
<p>Recall values are calculated over the rows and precision values over the columns.</p
Confusion matrix for the classification of the 724 real hESC images using the CNN architecture of De...
Confusion matrix for the classification of the 724 real hESC images using the Fused CNN-Triplet arch...
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>The confusion matrix can be computed for weighted and unweighted data. For unweighted data each d...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
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