Cover Image

Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Junhao, Li, Yun, Li, Junhao, Bian, Jingliang, Fan, Xiaomao, Lei, Wenbin, Wang, Ruxin
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
by: Wu, Linshan, et al.
Published: (2024)

A Plug-and-Play Image Registration Network
by: Hu, Junhao, et al.
Published: (2023)

End-to-end Multi-source Visual Prompt Tuning for Survival Analysis in Whole Slide Images
by: Qiu, Zhongwei, et al.
Published: (2024)

UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)

A Survey on Medical Image Compression: From Traditional to Learning-Based Approaches
by: Tong, Guofeng, et al.
Published: (2025)

ConStyle v2: A Strong Prompter for All-in-One Image Restoration
by: Fan, Dongqi, et al.
Published: (2024)

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
by: Gao, Yifan, et al.
Published: (2025)

Enhanced Quality Aware-Scalable Underwater Image Compression
by: Zhu, Linwei, et al.
Published: (2025)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025)

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
by: Dong, Junhao, et al.
Published: (2023)

Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
by: Huang, Lili, et al.
Published: (2024)

Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies
by: Jian, Bailiang, et al.
Published: (2025)

Active Learning on Medical Image
by: Biswas, Angona, et al.
Published: (2023)

Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in $T_{1ρ}$ Quantification of Knee Cartilage Using Learning-Based Methods
by: Zhong, Junru, et al.
Published: (2025)

ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
by: Lei, Mengqi, et al.
Published: (2024)

Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning
by: Ding, Jun-En, et al.
Published: (2024)

HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment
by: Wang, Chenhui, et al.
Published: (2024)

IMIL: Interactive Medical Image Learning Framework
by: Rao, Adrit, et al.
Published: (2024)

Attack and Defense Analysis of Learned Image Compression
by: Zhu, Tianyu, et al.
Published: (2024)

Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging
by: Garcia-Vega, Axel, et al.
Published: (2022)

Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI
by: Zhong, Yutian, et al.
Published: (2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)

On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks
by: Wu, Chenhao, et al.
Published: (2024)

STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation
by: Shan, Dandan, et al.
Published: (2025)

TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2025)

Image Provenance Analysis via Graph Encoding with Vision Transformer
by: Zhang, Keyang, et al.
Published: (2024)

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications
by: Liang, Chengyang, et al.
Published: (2024)

M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
by: Jiang, Yufeng, et al.
Published: (2024)

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
by: Huang, Yuning, et al.
Published: (2024)

Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation
by: Tang, Hao, et al.
Published: (2024)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2024)

Saliency-aware End-to-end Learned Variable-Bitrate 360-degree Image Compression
by: Gungordu, Oguzhan, et al.
Published: (2024)

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)

Structure Similarity Preservation Learning for Asymmetric Image Retrieval
by: Wu, Hui, et al.
Published: (2024)

Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
by: Meng, Mingyuan, et al.
Published: (2024)

On Disentangled Training for Nonlinear Transform in Learned Image Compression
by: Li, Han, et al.
Published: (2025)

Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel Correlation
by: Liu, Guangsen, et al.
Published: (2024)

Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
by: Xie, Huidong, et al.
Published: (2024)

Towards Interpretable Counterfactual Generation via Multimodal Autoregression
by: Ma, Chenglong, et al.
Published: (2025)