Abstract: Breast cancer is a prominent and fatal cancers that affect adult females worldwide. Improving patient outcomes requires early detection and accurate diagnosis. Recent advances in computer ...

Uncertainty quantification integrates methods that measure the confidence of deep learning predictions in medical imaging, addressing both intrinsic data noise and model limitations. In clinical ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

DeepKinome outperformed five DL and four machine learning models, achieving an RMSE of 1.157, an R 2 of 0.535, a PCC of 0.743, and an AIR of 0.570. Explainable artificial intelligence analysis ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

There's something interesting happening with the celebrities we've known, loved, and followed for decades: They don't seem to be aging like the rest of us. Lindsay Lohan, at the height of her ...