IEEE

SACU-Net: Shape-Aware U-Net for Biomedical Image Segmentation With Attention Mechanism and Context Extraction

With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, nuclei, ...
IEEE

U²ConvFormer: Marrying and Evolving Nested U-Net and Scale-Aware Transformer for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification plays an important role in the human exploration of the Earth. Recent research of deep learning-based HSI classification has been fast-growing, but ...
GitHub

U-Net for brain segmentation

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI based on a deep learning segmentation algorithm used in Association of genomic subtypes of lower-grade gliomas with ...
al.com

Here’s the average American’s net worth at 20, 30, 40, 50 and beyond

What does age have to do with net worth? Your age is one of the strongest predictors of your net worth, according to a recent report. A report by financial services company Empower found that the ...
GitHub

ohtlab/headpose-fsanet-pytorch

Note: My results are slightly worse than original author's results. For best results, please refer to official repository 1. Name Version python 3.7.6 numpy 1.18.5 ...