Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...

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 ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...

A single-branch convolutional model based on the ResNet-50 U-Net architecture (Res-UNet) was employed to capture local texture patterns and boundary details, while a single-branch Transformer-based ...

The primary objective of this study was to develop a deep learning model capable of accurate polyp segmentation without compromising real-time inference speed. Our results demonstrate that ...