Research graph
References from Wavelet-ASPP U-Net: Enhancing ultrasound image segmentation with multi-scale context and frequency-aware features. Local targets link to admitted publications; unresolved targets remain external evidence.
Ultrasound image segmentation: A survey
10.1109/tmi.2006.877092 · 2006 · External reference
Deep learning-based medical ultrasound image and video segmentation methods: Overview, frontiers, and challenges
10.3390/s25082361 · 2025 · External reference
Ultrasound image segmentation methods: A review
10.1063/5.0051110 · 2021 · External reference
Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network
10.3389/fphys.2022.961571 · 2022 · External reference
Noise-robustness test for ultrasound breast nodule neural network models as medical devices
10.3389/fonc.2023.1177225 · 2023 · External reference
Breast ultrasound image segmentation: A survey
10.1007/s11548-016-1513-1 · 2017 · External reference
10.1109/cvpr52733.2024.01085
10.1109/cvpr52733.2024.01085 · External reference
U-Net: Convolutional networks for biomedical image segmentation
2015 · External reference
A survey on deep learning in medical image analysis
10.1016/j.media.2017.07.005 · 2017 · External reference
Unresolved reference
2018 · External reference
UNet++: A nested U-Net architecture for medical image segmentation
2018 · External reference
Unresolved reference
2018 · External reference
LeViT-UNet: Make faster encoders with transformer for medical image segmentation
2023 · External reference
A review of wavelets in biomedical applications
10.1109/5.488704 · 1996 · External reference
A theory for multiresolution signal decomposition: The wavelet representation
10.1109/34.192463 · 1989 · External reference
Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation
10.1016/j.patcog.2023.109819 · 2023 · External reference
WATUNet: A deep neural network for segmentation of volumetric sweep imaging ultrasound
2024 · External reference
Automatic measurement of head circumference in fetal ultrasound images using a squeeze atrous pooling UNet
10.1016/j.bspc.2024.107434 · 2025 · External reference
Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture
10.1186/s12880-023-01011-8 · 2023 · External reference
Wavelet attention fusion for semi-supervised ultrasound segmentation
10.1016/j.bspc.2026.109566 · 2026 · External reference
Wavelet-based U-shape network for bioabsorbable vascular stents segmentation in IVOCT images
10.3389/fphys.2024.1454835 · 2024 · External reference
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
10.1109/tmi.2002.808364 · 2003 · External reference
Unresolved reference
2025 · External reference
10.1109/icassp40776.2020.9053405
10.1109/icassp40776.2020.9053405 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2021 · External reference
Swin-Unet: Unet-like pure transformer for medical image segmentation
2022 · External reference
LGNet: Local and global representation learning for fast biomedical image segmentation
10.1142/s1793545822430015 · 2023 · External reference
Ultrasound image segmentation based on transformer and U-Net with joint loss
10.7717/peerj-cs.1638 · 2023 · External reference
Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing
10.1016/j.eswa.2021.115650 · 2021 · External reference
Deep convolutional framelet denoising for low-dose CT via wavelet residual network
10.1109/tmi.2018.2823756 · 2018 · External reference
WINNet: Wavelet-inspired invertible network for image denoising
10.1109/tip.2022.3184845 · 2022 · External reference
Wavelet-based frequency replacement and edge enhancement for semi-supervised fetal ultrasound image segmentation
10.1002/jum.70171 · 2026 · External reference
Multidimensional multistage wavelet footprints: A new tool for image segmentation and feature extraction in medical ultrasound
2003 · External reference
WaveSNet: Wavelet integrated deep networks for image segmentation
2022 · External reference
WRANet: Wavelet integrated residual attention U-Net network for medical image segmentation
10.1007/s40747-023-01119-y · 2023 · External reference
ASPP-UNet: A new semantic segmentation algorithm for thyroid nodule ultrasonic image
2022 · External reference
10.1109/icbar58199.2022.00007
10.1109/icbar58199.2022.00007 · External reference
Breast lesions segmentation from ultrasound images using DeepLabv3+ model with channel and spatial attention mechanism
10.1007/s43621-024-00424-x · 2024 · External reference
The application of knowledge distillation toward fine-grained segmentation for three-vessel view of fetal heart ultrasound images
10.1155/2022/1765550 · 2022 · External reference
BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems
10.1002/mp.16812 · 2024 · External reference
10.1109/isbi48211.2021.9434087
10.1109/isbi48211.2021.9434087 · External reference
An open access thyroid ultrasound image database
2015 · External reference
Unresolved reference
2023 · External reference
CGNet: A light-weight context guided network for semantic segmentation
10.1109/tip.2020.3042065 · 2020 · External reference
Unresolved reference
2019 · External reference
ESNet: An efficient symmetric network for real-time semantic segmentation
2019 · External reference
SK-Unet: An improved U-Net model with selective kernel for the segmentation of LGE cardiac MR images
10.1109/jsen.2021.3056131 · 2021 · External reference
Wavelet-based frequency replacement and edge enhancement for semi-supervised fetal ultrasound image segmentation
10.1002/jum.70171 · ExternalCitation · doi-reference
BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems
10.1002/mp.16812 · ExternalCitation · doi-reference
Breast ultrasound image segmentation: A survey
10.1007/s11548-016-1513-1 · ExternalCitation · doi-reference
WRANet: Wavelet integrated residual attention U-Net network for medical image segmentation
10.1007/s40747-023-01119-y · ExternalCitation · doi-reference
Breast lesions segmentation from ultrasound images using DeepLabv3+ model with channel and spatial attention mechanism
10.1007/s43621-024-00424-x · ExternalCitation · doi-reference
Automatic measurement of head circumference in fetal ultrasound images using a squeeze atrous pooling UNet
10.1016/j.bspc.2024.107434 · ExternalCitation · doi-reference
Wavelet attention fusion for semi-supervised ultrasound segmentation
10.1016/j.bspc.2026.109566 · ExternalCitation · doi-reference
Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing
10.1016/j.eswa.2021.115650 · ExternalCitation · doi-reference
A survey on deep learning in medical image analysis
10.1016/j.media.2017.07.005 · ExternalCitation · doi-reference
Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation
10.1016/j.patcog.2023.109819 · ExternalCitation · doi-reference
Ultrasound image segmentation methods: A review
10.1063/5.0051110 · ExternalCitation · doi-reference
A theory for multiresolution signal decomposition: The wavelet representation
10.1109/34.192463 · ExternalCitation · doi-reference
A review of wavelets in biomedical applications
10.1109/5.488704 · ExternalCitation · doi-reference
10.1109/cvpr52733.2024.01085
10.1109/cvpr52733.2024.01085 · ExternalCitation · doi-reference
10.1109/icassp40776.2020.9053405
10.1109/icassp40776.2020.9053405 · ExternalCitation · doi-reference
10.1109/icbar58199.2022.00007
10.1109/icbar58199.2022.00007 · ExternalCitation · doi-reference
10.1109/isbi48211.2021.9434087
10.1109/isbi48211.2021.9434087 · ExternalCitation · doi-reference
SK-Unet: An improved U-Net model with selective kernel for the segmentation of LGE cardiac MR images
10.1109/jsen.2021.3056131 · ExternalCitation · doi-reference
CGNet: A light-weight context guided network for semantic segmentation
10.1109/tip.2020.3042065 · ExternalCitation · doi-reference
WINNet: Wavelet-inspired invertible network for image denoising
10.1109/tip.2022.3184845 · ExternalCitation · doi-reference
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
10.1109/tmi.2002.808364 · ExternalCitation · doi-reference
Ultrasound image segmentation: A survey
10.1109/tmi.2006.877092 · ExternalCitation · doi-reference
Deep convolutional framelet denoising for low-dose CT via wavelet residual network
10.1109/tmi.2018.2823756 · ExternalCitation · doi-reference
LGNet: Local and global representation learning for fast biomedical image segmentation
10.1142/s1793545822430015 · ExternalCitation · doi-reference
The application of knowledge distillation toward fine-grained segmentation for three-vessel view of fetal heart ultrasound images
10.1155/2022/1765550 · ExternalCitation · doi-reference
Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture
10.1186/s12880-023-01011-8 · ExternalCitation · doi-reference
Noise-robustness test for ultrasound breast nodule neural network models as medical devices
10.3389/fonc.2023.1177225 · ExternalCitation · doi-reference
Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network
10.3389/fphys.2022.961571 · ExternalCitation · doi-reference
Wavelet-based U-shape network for bioabsorbable vascular stents segmentation in IVOCT images
10.3389/fphys.2024.1454835 · ExternalCitation · doi-reference
Deep learning-based medical ultrasound image and video segmentation methods: Overview, frontiers, and challenges
10.3390/s25082361 · ExternalCitation · doi-reference
Ultrasound image segmentation based on transformer and U-Net with joint loss
10.7717/peerj-cs.1638 · ExternalCitation · doi-reference
