Confusion matrix for the classification of the 724 real hESC images using the Fused CNN-Triplet architecture of DeephESC 2.0.</p
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
Confusion matrix for the best classification model, which corresponded to a neural network with four...
<p>Confusion matrix of the proposed FER system that is trained on USTC-NVIE dataset and tested on CK...
Confusion matrix for the classification of the 724 real hESC images using the CNN-Triplet architectu...
Confusion matrix for the classification of the 724 real hESC images using the CNN architecture of De...
Workflow of DeephESC 2.0 is split into three modules namely: Detection of hESC from video, Generatio...
<p>The rows hereby indicate the predicted, i.e. real class, whereas the columns indicate the actual ...
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...
Visualization of features extracted by the CNN in DeephESC 2.0 for (a) Apoptically Blebbing cell and...
(a) RF, (b) GBM, (c) AdaBoost, (d) LR, (e) SVC, (f) SVEC-H, (g) SVEC-S, (h) CNN, (i) LSTM, (j) CNN-L...
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
<p>The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...
Confusion matrix using exclusively task fMRI data for the selection of the best classification model...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
Confusion matrix for the best classification model, which corresponded to a neural network with four...
<p>Confusion matrix of the proposed FER system that is trained on USTC-NVIE dataset and tested on CK...
Confusion matrix for the classification of the 724 real hESC images using the CNN-Triplet architectu...
Confusion matrix for the classification of the 724 real hESC images using the CNN architecture of De...
Workflow of DeephESC 2.0 is split into three modules namely: Detection of hESC from video, Generatio...
<p>The rows hereby indicate the predicted, i.e. real class, whereas the columns indicate the actual ...
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...
Visualization of features extracted by the CNN in DeephESC 2.0 for (a) Apoptically Blebbing cell and...
(a) RF, (b) GBM, (c) AdaBoost, (d) LR, (e) SVC, (f) SVEC-H, (g) SVEC-S, (h) CNN, (i) LSTM, (j) CNN-L...
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
<p>The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...
Confusion matrix using exclusively task fMRI data for the selection of the best classification model...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Classifications of the validation data (columns) are compared to the ground truth (rows). Numbers ar...
Confusion matrix for the best classification model, which corresponded to a neural network with four...
<p>Confusion matrix of the proposed FER system that is trained on USTC-NVIE dataset and tested on CK...
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