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R2C-Net: Reliability-Aware and Consistency-Guided Co-Training Network for Semi-Supervised Ultrasound Segmentation

https://doi.org/10.2139/ssrn.6330508
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Outgoing claims: the papers this work cites, builds on, or argues with.

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FaxMatch: Multi‐Curriculum Pseudo‐Labeling for semi‐supervised medical image classification
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BUS‐BRA: A breast ultrasound dataset for assessing computer‐aided diagnosis systems
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Economic evaluations of early detection strategies for pancreatic cancer: a systematic review
inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106389openalex-snapshot
Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules
inferredcites →https://doi.org/10.1016/j.gie.2020.04.071openalex-snapshot
Deep learning–based pancreas segmentation and station recognition system in EUS: development and validation of a useful training tool (with video)
inferredcites →https://doi.org/10.1016/j.irbm.2022.100747openalex-snapshot
CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment
inferredcites →https://doi.org/10.1109/tim.2023.3322993openalex-snapshot
DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation
inferredcites →https://doi.org/10.1109/tip.2023.3304518openalex-snapshot
MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images
inferredcites →https://doi.org/10.1109/tmi.2022.3226268openalex-snapshot
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images
inferredcites →https://doi.org/10.1109/tmi.2024.3469214openalex-snapshot
Learning With Explicit Shape Priors for Medical Image Segmentation
inferredcites →https://doi.org/10.1109/tmi.2025.3589058openalex-snapshot
Region Uncertainty Estimation for Medical Image Segmentation With Noisy Labels
inferredcites →https://doi.org/10.1109/tmi.2025.3594081openalex-snapshot
Dual Cross-Image Semantic Consistency With Self-Aware Pseudo Labeling for Semi-Supervised Medical Image Segmentation
inferredcites →https://doi.org/10.1109/tnnls.2020.2995319openalex-snapshot
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093608openalex-snapshot
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
inferredcites →https://doi.org/10.1111/jgh.16814openalex-snapshot
Enhancing detection of various pancreatic lesions on endoscopic ultrasound through artificial intelligence: a basis for computer‐aided detection systems
inferredcites →https://doi.org/10.3390/jcm10163589openalex-snapshot
Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound
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