Tag: deep learning

A new review in Biogerontology lays out a five-part framework for interpreting AI-derived ocular age estimates, warning that a cross-sectional ...

A hierarchical computer vision framework combining object detection, SAM2 segmentation, and multi-object tracking enables contactless, individual-level dairy cow behavior monitoring ...

Researchers in Algeria have combined convolutional neural networks with a Swin Transformer to detect network intrusions with up to 99.69 ...

Researchers in China have developed a lightweight transformer model with a novel cross-axis attention module and a feature memory component ...

A new survey in Machine Learning rebuilds the theory of regularization from ill-posed problems up and maps the modern landscape ...

A multi-task deep learning model that fuses pretreatment MRI and whole slide pathology images outperformed standard staging in predicting chemotherapy ...

A new multi-task deep learning framework called ApexTransNet segments apical periodontitis lesions and grades radiographic severity on periapical radiographs with ...

Researchers have combined contrastive learning with side-channel collision attacks, boosting key-recovery success rates by up to nearly 78 percent across ...

A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate cancer aggressiveness ...

A new cross-modality knowledge distillation framework uses CT-derived feature supervision to boost chest X-ray classification of lung diseases by up ...