Cover Image

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Dewen, Hu, Xinrong, Chen, Yu-Jen, Wu, Yawen, Xu, Xiaowei, Shi, Yiyu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contrastive Learning with Synthetic Positives
by: Zeng, Dewen, et al.
Published: (2024)

Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning
by: Hu, Xinrong, et al.
Published: (2024)

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation
by: Hu, Xinrong, et al.
Published: (2025)

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2023)

Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2024)

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
by: Chen, Yu-Jen, et al.
Published: (2025)

Contrastive Prompt Clustering for Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2025)

Image Augmentation Agent for Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2024)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
by: Lei, Yu, et al.
Published: (2024)

Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
by: Hu, Jiesi, et al.
Published: (2025)

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2024)

Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
by: Zhang, Xiaoqing, et al.
Published: (2023)

Achieve Fairness without Demographics for Dermatological Disease Diagnosis
by: Chiu, Ching-Hao, et al.
Published: (2024)

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
by: Xie, Yuxin, et al.
Published: (2024)

CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Retrieval
by: Zhao, Xinpeng, et al.
Published: (2024)

Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning
by: Zheng, Fudan, et al.
Published: (2024)

Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
by: Zhang, Lilin, et al.
Published: (2025)

Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
by: Qu, Jingguo, et al.
Published: (2026)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
by: Jiang, Runmin, et al.
Published: (2024)

Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
by: Kong, Qingpeng, et al.
Published: (2024)

WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025)

Complete Instances Mining for Weakly Supervised Instance Segmentation
by: Li, Zecheng, et al.
Published: (2024)

SynthSeg-Agents: Multi-Agent Synthetic Data Generation for Zero-Shot Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2025)

Hybrid Transformer-Mamba Architecture for Weakly Supervised Volumetric Medical Segmentation
by: Lyu, Yiheng, et al.
Published: (2025)

Few-Shot Medical Image Segmentation with Large Kernel Attention
by: Wu, Xiaoxiao, et al.
Published: (2024)

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
by: He, Jiaying, et al.
Published: (2025)

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
by: Cheng, Hangbei, et al.
Published: (2025)

Hierarchical Action Learning for Weakly-Supervised Action Segmentation
by: Huang, Junxian, et al.
Published: (2026)

Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training
by: Ma, Yingfan, et al.
Published: (2024)

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation
by: Cai, Lingcong, et al.
Published: (2024)

Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation
by: Li, Chen, et al.
Published: (2025)

Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation
by: Chen, Chaowei, et al.
Published: (2025)

Self-Supervised Alignment Learning for Medical Image Segmentation
by: Li, Haofeng, et al.
Published: (2024)

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images
by: Wu, Hongyi, et al.
Published: (2025)

DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation
by: Yang, Yitong, et al.
Published: (2024)

Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation
by: Shi, Lei, et al.
Published: (2025)

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
by: Wang, Zhisong, et al.
Published: (2025)

Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation
by: Shen, Sicheng, et al.
Published: (2024)

Decoupled Sensitivity-Consistency Learning for Weakly Supervised Video Anomaly Detection
by: Zheng, Hantao, et al.
Published: (2026)

Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation
by: Chen, Yilong, et al.
Published: (2024)