Copertina

Breaking the Data Barrier: Robust Few-Shot 3D Vessel Segmentation using Foundation Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yoshihara, Kirato, Sugawara, Yohei, Tokuoka, Yuta, Hong, Lihang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
di: Wittmann, Bastian, et al.
Pubblicazione: (2024)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
di: Yang, Jie, et al.
Pubblicazione: (2026)

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
di: Wittmann, Bastian, et al.
Pubblicazione: (2024)

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
di: Wang, Jia, et al.
Pubblicazione: (2025)

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

Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
di: Chen, Chi-Sheng, et al.
Pubblicazione: (2026)

Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data
di: Chakrabarty, Satrajit, et al.
Pubblicazione: (2025)

On The Robustness of Foundational 3D Medical Image Segmentation Models Against Imprecise Visual Prompts
di: Chattopadhyay, Soumitri, et al.
Pubblicazione: (2026)

Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches
di: Teoh, Yun Xin, et al.
Pubblicazione: (2024)

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

SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
di: Chan, Trevor J., et al.
Pubblicazione: (2024)

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

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

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
di: Rygiel, Patryk, et al.
Pubblicazione: (2024)

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

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

EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance
di: Wang, Jiahui, et al.
Pubblicazione: (2025)

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
di: Zhang, Dingyuan, et al.
Pubblicazione: (2023)

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

3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning
di: Liu, Zhentao, et al.
Pubblicazione: (2024)

Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging
di: Yamagishi, Yosuke, et al.
Pubblicazione: (2024)

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

Few-Shot Domain Adaptation for Learned Image Compression
di: Zhang, Tianyu, et al.
Pubblicazione: (2024)

Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching
di: Zu, Haiyue, et al.
Pubblicazione: (2025)

When Experts Disagree: Characterizing Annotator Variability for Vessel Segmentation in DSA Images
di: Geshvadi, M., et al.
Pubblicazione: (2025)

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

Few-Shot Domain Adaptive Object Detection for Microscopic Images
di: Inayat, Sumayya, et al.
Pubblicazione: (2024)

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
di: Fadugba, Jeremiah, et al.
Pubblicazione: (2024)

Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
di: Chen, Ruoyu, et al.
Pubblicazione: (2024)

SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation
di: Wang, Yiran, et al.
Pubblicazione: (2024)

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models
di: Delaquintana-Aramendi, Uxue, et al.
Pubblicazione: (2025)

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

VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
di: Feldman, Paula, et al.
Pubblicazione: (2023)

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

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

KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation
di: Zhao, Zhihao, et al.
Pubblicazione: (2024)

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

Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data
di: Kimbowa, Alvin, et al.
Pubblicazione: (2025)

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

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