Imagen de Portada

PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Xiao, Jin, Zhuo, Wu, Shaoxuan, Wang, Fengyu, Peng, Guansheng, Zhang, Xiang, Huang, Ying, Chen, JingKun, Feng, Jun
Formato:	Preprint
Publicado:	2025
Materias:	Image and Video Processing Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
por: Li, Yunxiang, et al.
Publicado: (2023)

HMS-VesselNet: Hierarchical Multi-Scale Attention Network with Topology-Preserving Loss for Retinal Vessel Segmentation
por: R, Amarnath
Publicado: (2026)

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients
por: Dou, Wanying, et al.
Publicado: (2025)

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
por: Zhang, Jiazhen, et al.
Publicado: (2025)

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

Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups
por: Xi, Zhenghao, et al.
Publicado: (2025)

CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
por: Mallick, Siddhartha, et al.
Publicado: (2026)

Provably Convergent Plug-and-play Proximal Block Coordinate Descent Method for Hyperspectral Anomaly Detection
por: Liu, Xiaoxia, et al.
Publicado: (2024)

Plug-and-play linear attention with provable guarantees for training-free image restoration
por: Kidambi, Srinivasan, et al.
Publicado: (2025)

MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation
por: Bian, Chenyuan, et al.
Publicado: (2024)

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
por: Sun, Zihong, et al.
Publicado: (2023)

VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA
por: Iltaf, Adnan, et al.
Publicado: (2025)

S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation
por: Wu, Yuke, et al.
Publicado: (2024)

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis
por: Mehmood, Mehwish, et al.
Publicado: (2024)

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
por: Ozcelik, Seher, et al.
Publicado: (2023)

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
por: Li, Shuhan, et al.
Publicado: (2023)

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

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

EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
por: Iqbal, Shahzaib, et al.
Publicado: (2024)

Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
por: Chen, Xinrun, et al.
Publicado: (2024)

LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
por: Alwadee, Ebtihal J., et al.
Publicado: (2024)

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

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD
por: Zhao, Shuiqing, et al.
Publicado: (2025)

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

SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
por: Wang, Hairong, et al.
Publicado: (2024)

Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
por: Faria, Fatema Tuj Johora, et al.
Publicado: (2024)

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

Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution
por: Fu, Congrui, et al.
Publicado: (2024)

Leveraging Frequency Domain Learning in 3D Vessel Segmentation
por: Wang, Xinyuan, et al.
Publicado: (2024)

Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images
por: Park, Jiyoung, et al.
Publicado: (2024)

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

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

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

X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma Screening
por: Huang, Cheng, et al.
Publicado: (2025)

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization
por: Carneiro-Esteves, Sophie, et al.
Publicado: (2024)

Semantic Communications with Explicit Semantic Base for Image Transmission
por: Zheng, Yuan, et al.
Publicado: (2023)

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
por: Mistry, Sahaj K., et al.
Publicado: (2024)

FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
por: Rezvani, Sadjad, et al.
Publicado: (2024)

Full-scale Representation Guided Network for Retinal Vessel Segmentation
por: Seo, Sunyong, et al.
Publicado: (2025)

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction
por: Song, Dongning, et al.
Publicado: (2024)