Cover Image

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Shuiqing, Wang, Meihuan, Xu, Jiaxuan, Feng, Jie, Qian, Wei, Chen, Rongchang, Liang, Zhenyu, Qi, Shouliang, Wu, Yanan
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
by: Huang, Guantian, et al.
Published: (2024)

Dual Invariance Self-training for Reliable Semi-supervised Surgical Phase Recognition
by: Nasirihaghighi, Sahar, et al.
Published: (2025)

Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation
by: Song, Pengwu, et al.
Published: (2025)

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
by: Liang, Guoyan, et al.
Published: (2025)

Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
by: Wang, Fangyijie, et al.
Published: (2025)

High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
by: Ming, Ying, et al.
Published: (2025)

Semi-weakly-supervised neural network training for medical image registration
by: Li, Yiwen, et al.
Published: (2024)

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
by: Xu, Meilong, et al.
Published: (2023)

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation
by: Zhao, Rongchang, et al.
Published: (2025)

Retinal Vessel Segmentation via Neuron Programming
by: Wu, Tingting, et al.
Published: (2024)

Cerebrovascular Segmentation via Vessel Oriented Filtering Network
by: Guo, Zhanqiang, et al.
Published: (2022)

Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
by: Liu, Zihang, et al.
Published: (2022)

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)

SPIRONet: Spatial-Frequency Learning and Topological Channel Interaction Network for Vessel Segmentation
by: Huang, De-Xing, et al.
Published: (2024)

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
by: Zhou, Xiaogen, et al.
Published: (2024)

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
by: Yousefirizi, Fereshteh, et al.
Published: (2022)

Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning
by: Wang, Xin, et al.
Published: (2024)

The R-Vessel-X Project
by: Affane, Abir, et al.
Published: (2025)

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2024)

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
by: Song, Bentao, et al.
Published: (2024)

Efficient EndoNeRF Reconstruction and Its Application for Data-driven Surgical Simulation
by: Wang, Yuehao, et al.
Published: (2024)

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation
by: Shi, Gen, et al.
Published: (2025)

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
by: Elsayed, Nazik, et al.
Published: (2024)

PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation
by: Zhang, Xiao, et al.
Published: (2025)

Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
by: Millard, Charles, et al.
Published: (2022)

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
by: Zhong, Xinliu, et al.
Published: (2025)

Self-supervised feature learning for cardiac Cine MR image reconstruction
by: Xu, Siying, et al.
Published: (2025)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)

Sparse2Inverse: Self-supervised inversion of sparse-view CT data
by: Gruber, Nadja, et al.
Published: (2024)

Using Unsupervised Domain Adaptation Semantic Segmentation for Pulmonary Embolism Detection in Computed Tomography Pulmonary Angiogram (CTPA) Images
by: Lin, Wen-Liang, et al.
Published: (2026)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
by: Bonazzi, Pietro, et al.
Published: (2023)

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)

Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views
by: Li, Zongyu, et al.
Published: (2024)

Universal Vessel Segmentation for Multi-Modality Retinal Images
by: Wen, Bo, et al.
Published: (2025)

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning
by: Wei, Xinxu, et al.
Published: (2024)

Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
by: Xie, Huidong, et al.
Published: (2024)

Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI
by: Zhong, Yutian, et al.
Published: (2024)

Semi-Supervised Goal-Oriented Semantic Communication Framework for Foreground Classification
by: Ni, Zhitong, et al.
Published: (2026)

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)