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An Improved Deepfake Detection Approach Using Hybrid Architecture Based on EfficientNet and Vision Transformer. [PDF]

J Imaging
Banimelhem O, Alsharu AO.
europepmc   +1 more source

Development of adaptive activation functions with curvature and range modulation for abstract image feature learning in complex CNNs for cross-domain applications. [PDF]

PLoS One
Raza A, Ali A, Ullah S, Rehman B, Ali Z.
europepmc   +1 more source

PSAFM: A parameter-free spatial attention fusion module. [PDF]

PLoS One
Liu G, Xu X, Zhou B, Wang F, Li Y.
europepmc   +1 more source

Confidence Is Detection-Like in High-Dimensional Spaces. [PDF]

Open Mind (Camb)
Kozyra W, O'Neill K, Fleming SM.
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Hybrid Decision-Level Fusion of CNN-Based Deep and Handcrafted Features for Colon Cancer Classification. [PDF]

J Imaging
Moldovanu S, Cocu A, Stefanescu D, Anghel C.   +3 more
europepmc   +1 more source

Construction and validation of a unified 3D convolutional neural network framework for automated identification of cervical spinal cord injury based on CT imaging. [PDF]

BMC Med Imaging
Ou D, Mo Y, Huang Y, Ye Y, Lin S, Pan L, Lin R, Huang S, Pan S.   +8 more
europepmc   +1 more source

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C-CNN: Contourlet Convolutional Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2021
Extracting effective features is always a challenging problem for texture classification because of the uncertainty of scales and the clutter of textural patterns. For texture classification, spectral analysis is traditionally employed in the frequency domain.
Mengkun Liu, Licheng Jiao, Xu Liu 0006, Lingling Li 0002, Fang Liu 0001, Shuyuan Yang 0001   +5 more
openaire   +3 more sources

Convolutional Neural Networks (CNN)

2021
Convolutional neural networks (CNN or ConvNet) are a specific type of neural networks for processing grid-like data such as images and time series. In healthcare applications, the CNN models are widely used in automatic feature learning and disease classification from medical images, for example, automatic classification of skin lesions, detection of ...
Cao Xiao, Jimeng Sun
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