Tag: ResNet-18

Researchers in China built a multimodal AI framework combining clinical data, CT enterography radiomics and deep learning on double-balloon enteroscopy ...

Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, using evolutionary neural ...

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of ...

A new Predictive Uncertainty Curve framework turns how AI models wobble under perturbations into a powerful, shadow-model-free membership inference attack ...

Researchers have built a two-step deep learning pipeline that detects and classifies biostratigraphically important Devonian miospores from Armenia with high ...

Researchers harnessed a pathology foundation model to read endometrial biopsy slides, predicting IVF live birth outcomes and identifying the receptive ...

Japanese researchers have built a deep learning model that detects neonatal pneumothorax on chest X-rays with an AUC of 0.975, ...