Tag: convolutional neural networks

A new systematic review of 121 studies finds that AI models reading chest X-rays reach 96 to 99 percent accuracy ...

A Moroccan research team has developed a hybrid convolutional neural network with local and global attention modules that reaches 95.87 ...

Researchers at the University of Salerno have developed a hybrid deep learning model that predicts the seismic capacity of existing ...

Researchers have developed CNN-SA-RFR, a cosine similarity-based self-attention framework that suppresses redundant filters during CNN training, boosting plant disease classification ...

University of Florida researchers showed that a ResNet-50 deep learning model can distinguish canine lymphoma from reactive lymphoid hyperplasia in ...

A comprehensive review of 53 studies shows deep learning systems can automatically segment lymphoma lesions on PET/CT, non-invasively classify disease, ...

A new hybrid AI architecture called Mamba-OrthoNet fuses global and local visual features with circular angle encoding to detect ship ...

A multicentre study of 247 patients shows fully automated AI-based CT analysis matches semi-automated software in measuring the aortic annulus ...

A comprehensive review of 81 studies finds that AI models for classifying thoracic diseases on chest X-rays show impressive lab ...

Researchers combined five pretrained CNN architectures in a bagging ensemble to generate richer, more faithful Deep Dream images, achieving a ...