Journal: Multimedia Tools and Applications

Article Title: Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review

doi: 10.1007/s11042-023-15029-1

Figure Lengend Snippet: Summary report of experimental setup work with technical details and performance metrics in the studied papers

Article Snippet: Abbas et al. [ ] , DeTraC (AlexNet, VGG19, ResNet, GoogleNet, SqueezeNet , , 3 × 3 , , , 4020 × 4892, 4248 × 3480 , 0.001 , 5 , Accuracy:97.35%, Sensitivity:98.23%, Specificity:96.34%. , ReLU , SGD , MATLAB 2019a.

Techniques: Activation Assay, Software, Blocking Assay

Journal: IEEE access : practical innovations, open solutions

Article Title: Cross-organ, cross-modality transfer learning: feasibility study for segmentation and classification

doi: 10.1109/access.2020.3038909

Figure Lengend Snippet: Tested CNN Architectures and Training Details

Article Snippet: For other hyperparameters, we used the default values of MATLAB for SGDM and Adam optimizer. table ft1 table-wrap mode="anchored" t5 TABLE II caption a7 Base Network SegNet-VGG16 DeepLabv3plus-ResNet18 Training on Intermediate Target Intermediate Target Choice of hyperpameters Optimizer SGDM ADAM Max epoch 32 50 32 50 Minibatch Size 4 4 128 128 Learning Rate le-3 le-3 le-5 le-4 Drop Factor No No No 0.9 Drop Period [Epoch] N/A N/A N/A 1 Open in a separate window Tested CNN Architectures and Training Details We let the weights of the network updated for every iteration during training.

Techniques: Biomarker Discovery