Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Manthe, Matthis, Lartizien, Carole, Duffner, Stefan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated brain tumor segmentation: an extensive benchmark
by: Manthe, Matthis, et al.
Published: (2024)
by: Manthe, Matthis, et al.
Published: (2024)
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
by: Panfilov, Egor, et al.
Published: (2019)
by: Panfilov, Egor, et al.
Published: (2019)
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
by: Justo, Jon Alvarez, et al.
Published: (2023)
by: Justo, Jon Alvarez, et al.
Published: (2023)
Deep vessel segmentation based on a new combination of vesselness filters
by: Garret, Guillaume, et al.
Published: (2024)
by: Garret, Guillaume, et al.
Published: (2024)
VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation
by: Englert, Brunó B., et al.
Published: (2025)
by: Englert, Brunó B., et al.
Published: (2025)
Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images
by: Lv, Jiaqi, et al.
Published: (2025)
by: Lv, Jiaqi, et al.
Published: (2025)
Unified Domain Adaptive Semantic Segmentation
by: Zhang, Zhe, et al.
Published: (2023)
by: Zhang, Zhe, et al.
Published: (2023)
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning
by: Cao, Yihong, et al.
Published: (2023)
by: Cao, Yihong, et al.
Published: (2023)
Uncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation
by: Dai, Duwei, et al.
Published: (2026)
by: Dai, Duwei, et al.
Published: (2026)
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
by: Ruan, Jiacheng, et al.
Published: (2023)
by: Ruan, Jiacheng, et al.
Published: (2023)
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
by: Liu, Yang, et al.
Published: (2023)
by: Liu, Yang, et al.
Published: (2023)
Using Unsupervised Domain Adaptation Semantic Segmentation for Pulmonary Embolism Detection in Computed Tomography Pulmonary Angiogram (CTPA) Images
by: Lin, Wen-Liang, et al.
Published: (2026)
by: Lin, Wen-Liang, et al.
Published: (2026)
Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation
by: Wilm, Frauke, et al.
Published: (2024)
by: Wilm, Frauke, et al.
Published: (2024)
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
by: Spaanderman, Douwe J., et al.
Published: (2024)
by: Spaanderman, Douwe J., et al.
Published: (2024)
Post-Mortem Human Iris Segmentation Analysis with Deep Learning
by: Hossain, Afzal, et al.
Published: (2024)
by: Hossain, Afzal, et al.
Published: (2024)
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
by: Shi, Hairong, et al.
Published: (2024)
by: Shi, Hairong, et al.
Published: (2024)
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
FedDA-TSformer: Federated Domain Adaptation with Vision TimeSformer for Left Ventricle Segmentation on Gated Myocardial Perfusion SPECT Image
by: Huang, Yehong, et al.
Published: (2025)
by: Huang, Yehong, et al.
Published: (2025)
PlaNet-S: Automatic Semantic Segmentation of Placenta
by: Yamamoto, Shinnosuke, et al.
Published: (2023)
by: Yamamoto, Shinnosuke, et al.
Published: (2023)
Knowledge Consultation for Semi-Supervised Semantic Segmentation
by: Than, Thuan, et al.
Published: (2025)
by: Than, Thuan, et al.
Published: (2025)
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
by: Kompanets, Andrii, et al.
Published: (2024)
by: Kompanets, Andrii, et al.
Published: (2024)
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
by: Sourabh, Suman, et al.
Published: (2024)
by: Sourabh, Suman, et al.
Published: (2024)
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
by: Kovac, Daniel, et al.
Published: (2024)
by: Kovac, Daniel, et al.
Published: (2024)
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan
by: Liu, Mengyuan, et al.
Published: (2025)
by: Liu, Mengyuan, et al.
Published: (2025)
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)
by: Lin, Yi, et al.
Published: (2025)
Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer
by: Shaik, Abdul Samad, et al.
Published: (2025)
by: Shaik, Abdul Samad, et al.
Published: (2025)
The Federated Tumor Segmentation (FeTS) Challenge
by: Pati, Sarthak, et al.
Published: (2021)
by: Pati, Sarthak, et al.
Published: (2021)
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements
by: Wang, Zhiyan, et al.
Published: (2024)
by: Wang, Zhiyan, et al.
Published: (2024)
CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings
by: Mata, Cristina, et al.
Published: (2025)
by: Mata, Cristina, et al.
Published: (2025)
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation
by: Lin, Li, et al.
Published: (2024)
by: Lin, Li, et al.
Published: (2024)
Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
by: Fu, Jingru, et al.
Published: (2024)
by: Fu, Jingru, et al.
Published: (2024)
Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
by: Zhang, Zheyuan, et al.
Published: (2024)
by: Zhang, Zheyuan, et al.
Published: (2024)
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
by: Hou, Benjamin, et al.
Published: (2024)
by: Hou, Benjamin, et al.
Published: (2024)
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)
by: Kurmukov, Anvar, et al.
Published: (2024)
Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis
by: Molchanova, Nataliia, et al.
Published: (2025)
by: Molchanova, Nataliia, et al.
Published: (2025)
Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
by: Krishnaswamy, Deepa, et al.
Published: (2025)
by: Krishnaswamy, Deepa, et al.
Published: (2025)
Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
by: Stevens, Tristan S. W., et al.
Published: (2025)
by: Stevens, Tristan S. W., et al.
Published: (2025)
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning
by: Li, Zhuoying, et al.
Published: (2024)
by: Li, Zhuoying, et al.
Published: (2024)
Similar Items
-
Federated brain tumor segmentation: an extensive benchmark
by: Manthe, Matthis, et al.
Published: (2024) -
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
by: Panfilov, Egor, et al.
Published: (2019) -
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
by: Justo, Jon Alvarez, et al.
Published: (2023) -
Deep vessel segmentation based on a new combination of vesselness filters
by: Garret, Guillaume, et al.
Published: (2024) -
VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation
by: Englert, Brunó B., et al.
Published: (2025)