Imagen de Portada

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yuan, Chen, Feng, Qi, Yaolei, Yang, Guanyu, Fu, Huazhu
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images
por: Zhang, Yuan, et al.
Publicado: (2026)

Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
por: Zhang, Yuan, et al.
Publicado: (2025)

CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation
por: Wang, Tong, et al.
Publicado: (2026)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
por: Qi, Xiaoming, et al.
Publicado: (2025)

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
por: Zhang, Yuan, et al.
Publicado: (2024)

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation
por: Fu, Mingxi, et al.
Publicado: (2025)

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
por: Zhu, Meilu, et al.
Publicado: (2026)

Rethinking the Detail-Preserved Completion of Complex Tubular Structures based on Point Cloud: a Dataset and a Benchmark
por: Qi, Yaolei, et al.
Publicado: (2025)

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
por: Zhu, Lei, et al.
Publicado: (2025)

Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
por: Wong, Bryan, et al.
Publicado: (2025)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
por: Qi, Xiaoming, et al.
Publicado: (2025)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation
por: Gu, Yunqi, et al.
Publicado: (2023)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2025)

Cycle Context Verification for In-Context Medical Image Segmentation
por: Hu, Shishuai, et al.
Publicado: (2025)

Benchmarking PathCLIP for Pathology Image Analysis
por: Zheng, Sunyi, et al.
Publicado: (2024)

FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
por: He, Along, et al.
Publicado: (2024)

StructDiff: Structure-aware Diffusion Model for 3D Fine-grained Medical Image Synthesis
por: Xia, Jiahao, et al.
Publicado: (2025)

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2024)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2025)

AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models
por: Xiao, Yuxiang, et al.
Publicado: (2025)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
por: Wu, Junde, et al.
Publicado: (2023)

CritiFusion: Semantic Critique and Spectral Alignment for Faithful Text-to-Image Generation
por: Chen, ZhenQi, et al.
Publicado: (2025)

Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
por: Jeon, Young Seok, et al.
Publicado: (2024)

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
por: Shi, Jiangbo, et al.
Publicado: (2025)

PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning
por: Anuvab, Md. Shahriar Rahman, et al.
Publicado: (2024)

AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation
por: Li, Haojin, et al.
Publicado: (2025)

A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
por: Mei, Jiaxin, et al.
Publicado: (2023)

Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
por: Ge, Jiusong, et al.
Publicado: (2026)

Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR
por: Shi, Baoshun, et al.
Publicado: (2025)

Vivim: a Video Vision Mamba for Medical Video Segmentation
por: Yang, Yijun, et al.
Publicado: (2024)

Vision-Language Model IP Protection via Prompt-based Learning
por: Wang, Lianyu, et al.
Publicado: (2025)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
por: Wang, Yuan, et al.
Publicado: (2024)

SAMPO-Path: Segmentation Intent-Aligned Preference Optimization for Pathology Foundation Model Segmentation
por: Wu, Yonghuang, et al.
Publicado: (2025)

LoC-Path: Learning to Compress for Pathology Multimodal Large Language Models
por: Hu, Qingqiao, et al.
Publicado: (2025)

Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
por: Qi, Lirui, et al.
Publicado: (2025)

PathSegDiff: Pathology Segmentation using Diffusion model representations
por: Danisetty, Sachin Kumar, et al.
Publicado: (2025)

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling
por: Jeon, Young Seok, et al.
Publicado: (2025)

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
por: Yuan, Ruicheng, et al.
Publicado: (2026)

Topology-aware Pathological Consistency Matching for Weakly-Paired IHC Virtual Staining
por: Jiang, Mingzhou, et al.
Publicado: (2026)

AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation
por: Chen, Tongfei, et al.
Publicado: (2026)