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10/26/2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance
High resolution (HR) 3D medical image segmentation plays an important ro...
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07/29/2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation
Recently, a variety of vision transformers have been developed as their ...
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03/08/2022
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer
Recently, convolutional neural networks (CNN) have obtained promising re...
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11/08/2021
Mixed Transformer U-Net For Medical Image Segmentation
Though U-Net has achieved tremendous success in medical image segmentati...
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04/29/2021
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer
Non-small cell lung cancer (NSCLC) is a serious disease and has a high r...
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03/07/2021
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation
Coronavirus Disease 2019 (COVID-19) has rapidly spread in 2020, emerging...
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02/27/2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
In this paper, we propose a phase attention residual network (PA-ResSeg)...
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10/16/2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Deep learning-based super-resolution (SR) techniques have generally achi...
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08/27/2020
Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors
Deep learning techniques have led to state-of-the-art single image super...
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04/19/2020
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Recently, a growing interest has been seen in deep learning-based semant...
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06/04/2018
