Cover Image

CTS: A Consistency-Based Medical Image Segmentation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kejia, Zhang, Lan, Pan, Haiwei, Yu, Baolong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
by: Zhou, Pengcheng, et al.
Published: (2025)

Translation Consistent Semi-supervised Segmentation for 3D Medical Images
by: Liu, Yuyuan, et al.
Published: (2022)

Curriculum Prompting Foundation Models for Medical Image Segmentation
by: Zheng, Xiuqi, et al.
Published: (2024)

Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
by: Li, Lijian
Published: (2024)

Unified Medical Image Segmentation with State Space Modeling Snake
by: Zhang, Ruicheng, et al.
Published: (2025)

Boosting Medical Image Classification with Segmentation Foundation Model
by: Gu, Pengfei, et al.
Published: (2024)

MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion
by: Li, Zhe, et al.
Published: (2024)

Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment
by: Lu, Haisheng, et al.
Published: (2024)

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
by: Jiang, Chongcong, et al.
Published: (2026)

Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
by: Zhang, Xinwei, et al.
Published: (2025)

Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
by: Zhu, Yun, et al.
Published: (2025)

MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
by: Yu, Pengyang, et al.
Published: (2025)

PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images
by: Chen, Zifan, et al.
Published: (2024)

Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
by: Li, Chuanpu, et al.
Published: (2024)

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
by: Fang, Zijie, et al.
Published: (2024)

Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
by: Tang, Song, et al.
Published: (2024)

Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies
by: Chen, Yifei, et al.
Published: (2024)

Diffusion Model in Latent Space for Medical Image Segmentation Task
by: Ngoc, Huynh Trinh, et al.
Published: (2025)

Unleashing Diffusion and State Space Models for Medical Image Segmentation
by: Wu, Rong, et al.
Published: (2025)

CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs
by: Huang, Xiaoyi, et al.
Published: (2026)

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
by: Elangovan, Kabilan, et al.
Published: (2026)

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
by: Ayzenberg, Lev, et al.
Published: (2024)

Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization
by: Liu, Ke, et al.
Published: (2025)

DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
by: Zhang, Wenjie, et al.
Published: (2025)

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
by: Li, Yonglin, et al.
Published: (2023)

Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection
by: Mao, Guoxuan, et al.
Published: (2025)

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2025)

DS$^2$Net: Detail-Semantic Deep Supervision Network for Medical Image Segmentation
by: Huang, Zhaohong, et al.
Published: (2025)

Learning from Disagreement: A Group Decision Simulation Framework for Robust Medical Image Segmentation
by: Zhong, Chen, et al.
Published: (2025)

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation
by: Tang, Jiaqi, et al.
Published: (2026)

X2SAM: Any Segmentation in Images and Videos
by: Wang, Hao, et al.
Published: (2026)

TGC-Net: A Structure-Aware and Semantically-Aligned Framework for Text-Guided Medical Image Segmentation
by: Lin, Gaoren, et al.
Published: (2025)

Weakly-supervised Medical Image Segmentation with Gaze Annotations
by: Zhong, Yuan, et al.
Published: (2024)

Camyla: Scaling Autonomous Research in Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2026)

Ordinal Semantic Segmentation Applied to Medical and Odontological Images
by: Lima, Mariana Dória Prata, et al.
Published: (2026)

K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model
by: Guo, Bangwei, et al.
Published: (2025)

WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
by: Zhang, Zhang, et al.
Published: (2026)

LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation
by: Naman, Anugunj, et al.
Published: (2026)

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation
by: Zhang, Yiqin, et al.
Published: (2024)