RT‐Unet: An advanced network based on residual network and transformer for medical image segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22956
Abstract: For the past several years, semantic segmentation method based on deep learning, especially Unet, have achieved tremendous success in medical image processing. The U‐shaped topology of Unet can well solve image segmentation tasks. However, due… read more here.
Keywords: residual network; network; unet; segmentation ... See more keywords
BDCN_UNet: Advanced shoreline extraction techniques integrating deep learning
Sign Up to like & getrecommendations! Published in 2025 at "Earth Science Informatics"
DOI: 10.1007/s12145-024-01693-w
Abstract: The delineation of shorelines, marking the dynamic boundary between land and sea, is crucial for coastal management and ecological conservation. This research investigates various methods for automatic shoreline extraction from satellite images, utilizing cost-effective and… read more here.
Keywords: deep learning; unet; bdcn unet; shoreline extraction ... See more keywords
UNet-like network fused swin transformer and CNN for semantic image synthesis
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65585-1
Abstract: Semantic image synthesis approaches has been dominated by the modelling of Convolutional Neural Networks (CNN). Due to the limitations of local perception, their performance improvement seems to have plateaued in recent years. To tackle this… read more here.
Keywords: unet; cnn; image synthesis; semantic image ... See more keywords
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3232561
Abstract: Biomedical image segmentation (BIS) task is challenging due to the variations in organ types, position, shape, size, scale, orientation, and image contrast. Conventional methods lack accurate and automated designs. Artificial intelligence (AI)-based UNet has recently… read more here.
Keywords: vascular non; unet; segmentation; architecture ... See more keywords
CN-UNet: ConvNeXt UNet With Slicing-Aided Hyper Segmentation for Infrared Small Target Detection
Sign Up to like & getrecommendations! Published in 2026 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3631384
Abstract: Infrared small target detection (IRSTD) has been a long challenging task in infrared detection technology due to the inherently low contrast and absence of discernible texture in such targets. To address this issue, a new… read more here.
Keywords: detection; unet; target detection; segmentation ... See more keywords
MDE-UNet: A Multitask Deformable UNet Combined Enhancement Network for Farmland Boundary Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3252048
Abstract: Farmland segmentation scenario from remote sensing images plays an important role in crop growth monitoring, precision agriculture, and intelligent agriculture. To achieve high precision segmentation of farmland boundary, a Multitask Deformable UNet combined Enhanced (MDE-UNet)… read more here.
Keywords: network; deformable unet; unet; segmentation ... See more keywords
MAS-UNet: a U-shaped network for prostate segmentation
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2023.1190659
Abstract: Prostate cancer is a common disease that seriously endangers the health of middle-aged and elderly men. MRI images are the gold standard for assessing the health status of the prostate region. Segmentation of the prostate… read more here.
Keywords: prostate; region; unet; segmentation ... See more keywords