:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Han, Luo, Xiangde, Chen, Yong, Li, Kang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2507.13087
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
by: Ye, Yiwen, et al.
Published: (2025)

Diversified and Personalized Multi-rater Medical Image Segmentation
by: Wu, Yicheng, et al.
Published: (2024)

HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
by: Chen, Tao, et al.
Published: (2024)

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
by: Zhang, Zheyuan, et al.
Published: (2023)

AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images
by: Dutta, Saikat, et al.
Published: (2025)

LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model
by: Huang, Runhui, et al.
Published: (2024)

ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation
by: Lin, Yuan, et al.
Published: (2026)

FairDiff: Fair Segmentation with Point-Image Diffusion
by: Li, Wenyi, et al.
Published: (2024)

A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation
by: Wu, Jianghao, et al.
Published: (2026)

Omni-Referring Image Segmentation
by: Zheng, Qiancheng, et al.
Published: (2025)

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
by: Luo, Zihao, et al.
Published: (2024)

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
by: Luo, Zihao, et al.
Published: (2025)

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
by: Chen, Xiaoyang, et al.
Published: (2023)

MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
by: Rezvani, Arghavan, et al.
Published: (2025)

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
by: Xie, Jianhao, et al.
Published: (2025)

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
by: Zhang, Hantao, et al.
Published: (2025)

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

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
by: Chen, Qian, et al.
Published: (2024)

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation
by: Gao, Qiang, et al.
Published: (2026)

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
by: Degerli, Aysen, et al.
Published: (2022)

MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
by: Yu, Yongrui, et al.
Published: (2024)

DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completion
by: Li, Zijun, et al.
Published: (2025)

ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning
by: Han, Dong, et al.
Published: (2024)

SAM-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching
by: Zhao, Xingyue, et al.
Published: (2024)

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
by: Duan, Zheng-Peng, et al.
Published: (2024)

Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
by: Luo, Jinting, et al.
Published: (2024)

CA-Diff: Collaborative Anatomy Diffusion for Brain Tissue Segmentation
by: Xing, Qilong, et al.
Published: (2025)

Expert-Adaptive Medical Image Segmentation
by: Hu, Binyan, et al.
Published: (2024)

DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model
by: Jia, Peijin, et al.
Published: (2024)

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

Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
by: Zhang, Zhengbo, et al.
Published: (2024)

Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025)

TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation
by: Ma, Kangbo
Published: (2025)

Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2025)

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
by: Luo, Xiangde, et al.
Published: (2024)

CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation
by: Jiang, Xiaoyan, et al.
Published: (2024)

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
by: Mao, Fuyou, et al.
Published: (2025)

OmniDiff: A Comprehensive Benchmark for Fine-grained Image Difference Captioning
by: Liu, Yuan, et al.
Published: (2025)

DeferredSeg: A Multi-Expert Deferral Framework for Trustworthy Medical Image Segmentation
by: Tian, Qiuyu, et al.
Published: (2026)