News

GitHub3y
sinAshish/Multi-Scale-Attention: [JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation" - GitHub
Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have some drawbacks. First, the use of multi-scale approaches, i.e., ...
IEEE4mon
Attention-based multi-views and multi-scale temporal information fusion convolutional neural network for motor imagery EEG decoding
In this paper, we propose an innovative deep learning architecture called Attention-based Multi-view and Multi-scale Temporal Information Fusion Convolutional Neural Network (AMMFCNN) for decoding ...
IEEE1y
Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI - IEEE Xplore
Due to the high incidence of lumbar vertebral lesions causing spondylolisthesis and intervertebral disc protrusion, lumbar spine (vertebrae and intervertebral discs) MRI image segmentation can provide ...
GitHub2y
Image Inpainting via Generative Multi-column Convolutional Neural Networks - GitHub
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018 - shepnerd/inpainting_gmcnn. ... python test.py --dataset paris_streetview --data_file ...