Cover Image

ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saha, Puja, Ukwatta, Eranga
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2025)

MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation
by: Shiranthika, Chamani, et al.
Published: (2025)

SegReg: Latent Space Regularization for Improved Medical Image Segmentation
by: Vaish, Puru, et al.
Published: (2026)

Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
by: Li, Chengyin, et al.
Published: (2024)

MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
by: Cao, Aaron, et al.
Published: (2024)

CF-Seg: Counterfactuals meet Segmentation
by: Mehta, Raghav, et al.
Published: (2025)

MedSAM2: Segment Anything in 3D Medical Images and Videos
by: Ma, Jun, et al.
Published: (2025)

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
by: Alhamoud, Kumail, et al.
Published: (2024)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
by: Ali, Shams Nafisa, et al.
Published: (2026)

HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, et al.
Published: (2025)

Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI
by: Mehrnia, Mehri, et al.
Published: (2024)

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
by: Siomos, Vasilis, et al.
Published: (2025)

MedUHIP: Towards Human-In-the-Loop Medical Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)

Cross Modality Medical Image Synthesis for Improving Liver Segmentation
by: Rafiq, Muhammad, et al.
Published: (2025)

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
by: Ye, Jin, et al.
Published: (2024)

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
by: Tan, Shengbo, et al.
Published: (2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop
by: Ma, Jun, et al.
Published: (2024)

Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
by: Saha, Ripon Kumar, et al.
Published: (2024)

BreastSegNet: Multi-label Segmentation of Breast MRI
by: Li, Qihang, et al.
Published: (2025)

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities
by: Das, Anindya Bijoy, et al.
Published: (2025)

U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
by: Neha, Fnu, et al.
Published: (2024)

ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
by: Yavari, Sara, et al.
Published: (2025)

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
by: Gani, Hanan, et al.
Published: (2024)

Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation
by: Chen, Yixin, et al.
Published: (2024)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
by: Zou, Jingchen, et al.
Published: (2025)

SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
by: Sengupta, Sourya, et al.
Published: (2025)

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
by: Zhu, Hancan, et al.
Published: (2025)

Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024)

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
by: Zhou, Xiaogen, et al.
Published: (2024)

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

MedBLIP: Fine-tuning BLIP for Medical Image Captioning
by: Limbu, Manshi, et al.
Published: (2025)

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review
by: Koutsoubis, Nikolas, et al.
Published: (2024)

Med-URWKV†: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2025)

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
by: Ji, Hangyu
Published: (2025)

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
by: Albertsen, Simon Winther, et al.
Published: (2025)

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
by: Saky, S M Asiful Islam, et al.
Published: (2025)

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation
by: Ahmed, Fatimaelzahraa, et al.
Published: (2025)

MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
by: Mittal, Avni, et al.
Published: (2025)

PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation
by: Feng, Feiyan, et al.
Published: (2024)