Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans
… There was no significant difference between the two measurement methods (… architecture
of the human brain, processing data using a series of interconnected ‘neurons’. This AI method …
of the human brain, processing data using a series of interconnected ‘neurons’. This AI method …
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
… A comparison with existing techniques shows the proposed … The comprehensive computerized
techniques reported in … this work for validation of proposed 3D CNN architecture for tumor …
techniques reported in … this work for validation of proposed 3D CNN architecture for tumor …
TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics
… (compared to some existing CPU-based electronic structure … in electronic structure codes is
often the evaluation of the two-… an alternative computing architecture for electronic structure. …
often the evaluation of the two-… an alternative computing architecture for electronic structure. …
Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography
… As shown in generator architecture of Fig. 1, after two … In this evaluation method, we exclude
one patient from each … method that is compared to the proposed method.35 As the proposed …
one patient from each … method that is compared to the proposed method.35 As the proposed …
Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network
S Li, X Zhao, G Zhou - Computer‐Aided Civil and Infrastructure …, 2019 - Wiley Online Library
… Compared with nonpixel methods, pixel-level method can … In addition, the damage area is
computed according to a calibrated … and validated FCN is performed regarding the method's …
computed according to a calibrated … and validated FCN is performed regarding the method's …
CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection
… automatic pavement condition evaluation methods. Since the computerized systems deal with
each … pavement crack detection according to the comparative experiments of this research. …
each … pavement crack detection according to the comparative experiments of this research. …
diffGrad: an optimization method for convolutional neural networks
… The regret bound is computed by summing the difference between all the previous online …
The results are computed in terms of the average top-1 validation classification accuracy. …
The results are computed in terms of the average top-1 validation classification accuracy. …
BEHRT: transformer for electronic health records
… (or turn off compatibility mode in Internet Explorer). In the … The evaluation metrics we used
to compare y’s and y*’s, are … of models, we carefully analyse model architecture for Deepr …
to compare y’s and y*’s, are … of models, we carefully analyse model architecture for Deepr …
Deep unified model for face recognition based on convolution neural network and edge computing
… rooms is computed and transmitted through an Internet of … A comparative performance study
shows that our architecture … The accuracy of proposed model on validation data is compared …
shows that our architecture … The accuracy of proposed model on validation data is compared …
A comparative study of deep learning architectures on melanoma detection
SH Kassani, PH Kassani - Tissue and Cell, 2019 - Elsevier
… The symmetry feature is computed by horizontal and vertical … , we employ various standard
evaluation metrics such as specificity… architecture with data augmentation and pre-processing …
evaluation metrics such as specificity… architecture with data augmentation and pre-processing …