Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III
Fuente:
arXiv
Saved in:
| Main Author: | Alasmawi, Hussain |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoPET III Challenge: PET/CT Semantic Segmentation
by: Safdari, Reza, et al.
Published: (2024)
by: Safdari, Reza, et al.
Published: (2024)
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
by: Kovacs, Balint, et al.
Published: (2024)
by: Kovacs, Balint, et al.
Published: (2024)
Auto-nnU-Net: Towards Automated Medical Image Segmentation
by: Becktepe, Jannis, et al.
Published: (2025)
by: Becktepe, Jannis, et al.
Published: (2025)
Scaling nnU-Net for CBCT Segmentation
by: Isensee, Fabian, et al.
Published: (2024)
by: Isensee, Fabian, et al.
Published: (2024)
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
by: Astaraki, Mehdi, et al.
Published: (2024)
by: Astaraki, Mehdi, et al.
Published: (2024)
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble
by: Chutani, Tanya, et al.
Published: (2024)
by: Chutani, Tanya, et al.
Published: (2024)
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
by: Skorupko, Grzegorz, et al.
Published: (2025)
by: Skorupko, Grzegorz, et al.
Published: (2025)
Automated Prostate Gland Segmentation in MRI Using nnU-Net
by: Rodriguez-Belenguer, Pablo, et al.
Published: (2026)
by: Rodriguez-Belenguer, Pablo, et al.
Published: (2026)
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
by: Isensee, Fabian, et al.
Published: (2024)
by: Isensee, Fabian, et al.
Published: (2024)
Efficient Bayesian Uncertainty Estimation for nnU-Net
by: Zhao, Yidong, et al.
Published: (2022)
by: Zhao, Yidong, et al.
Published: (2022)
Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net
by: Brioso, Ricardo Coimbra, et al.
Published: (2026)
by: Brioso, Ricardo Coimbra, et al.
Published: (2026)
AutoPET Challenge: Tumour Synthesis for Data Augmentation
by: Chan, Lap Yan Lennon, et al.
Published: (2024)
by: Chan, Lap Yan Lennon, et al.
Published: (2024)
Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
by: Mistry, Sahaj K., et al.
Published: (2024)
by: Mistry, Sahaj K., et al.
Published: (2024)
Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
by: Li, Xiaolong, et al.
Published: (2025)
by: Li, Xiaolong, et al.
Published: (2025)
Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation
by: Fernández-Rodríguez, Marcos, et al.
Published: (2024)
by: Fernández-Rodríguez, Marcos, et al.
Published: (2024)
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
by: Gunawardhana, Malitha, et al.
Published: (2024)
by: Gunawardhana, Malitha, et al.
Published: (2024)
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
by: Ahamed, Shadab
Published: (2024)
by: Ahamed, Shadab
Published: (2024)
Cracking the PUMA Challenge in 24 Hours with CellViT++ and nnU-Net
by: Shahamiri, Negar, et al.
Published: (2025)
by: Shahamiri, Negar, et al.
Published: (2025)
Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI
by: Barakat, Mohtady, et al.
Published: (2026)
by: Barakat, Mohtady, et al.
Published: (2026)
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
by: Vossough, Arastoo, et al.
Published: (2024)
by: Vossough, Arastoo, et al.
Published: (2024)
Multi-encoder nnU-Net outperforms transformer models with self-supervised pretraining
by: Otaghsara, Seyedeh Sahar Taheri, et al.
Published: (2025)
by: Otaghsara, Seyedeh Sahar Taheri, et al.
Published: (2025)
Selective Phase-Aware Training of nnU-Net for Robust Breast Cancer Segmentation in Multi-Center DCE-MRI
by: Zayim, Beyza, et al.
Published: (2025)
by: Zayim, Beyza, et al.
Published: (2025)
Privacy-Aware Federated nnU-Net for ECG Page Digitization
by: Nemati, Nader
Published: (2025)
by: Nemati, Nader
Published: (2025)
A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
by: Pham, William, et al.
Published: (2024)
by: Pham, William, et al.
Published: (2024)
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
by: Kalisch, Hamza, et al.
Published: (2024)
by: Kalisch, Hamza, et al.
Published: (2024)
MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
by: Pooyan, Melika, et al.
Published: (2024)
by: Pooyan, Melika, et al.
Published: (2024)
Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset
by: Bohara, Prabin, et al.
Published: (2026)
by: Bohara, Prabin, et al.
Published: (2026)
Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
by: Truzman, Tammar, et al.
Published: (2026)
by: Truzman, Tammar, et al.
Published: (2026)
UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner
by: Ren, Jintao, et al.
Published: (2024)
by: Ren, Jintao, et al.
Published: (2024)
Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI
by: Olthof, Karin A., et al.
Published: (2025)
by: Olthof, Karin A., et al.
Published: (2025)
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
by: Górka, Monika, et al.
Published: (2024)
by: Górka, Monika, et al.
Published: (2024)
Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
by: Ren, Jintao, et al.
Published: (2024)
by: Ren, Jintao, et al.
Published: (2024)
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques
by: Liu, Jiayi, et al.
Published: (2024)
by: Liu, Jiayi, et al.
Published: (2024)
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
by: Mei, Jie, et al.
Published: (2025)
by: Mei, Jie, et al.
Published: (2025)
The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization
by: Dexl, Jakob, et al.
Published: (2026)
by: Dexl, Jakob, et al.
Published: (2026)
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
by: Lu, Jinpeng, et al.
Published: (2024)
by: Lu, Jinpeng, et al.
Published: (2024)
FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
by: Alasmawi, Hussain, et al.
Published: (2025)
by: Alasmawi, Hussain, et al.
Published: (2025)
Context-Gated Cross-Modal Perception with Visual Mamba for PET-CT Lung Tumor Segmentation
by: Ayllón, Elena Mulero, et al.
Published: (2025)
by: Ayllón, Elena Mulero, et al.
Published: (2025)
Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations
by: Kaniewski, Piotr, et al.
Published: (2024)
by: Kaniewski, Piotr, et al.
Published: (2024)
Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
by: Kalu, Chukwuemeka Arua, et al.
Published: (2025)
by: Kalu, Chukwuemeka Arua, et al.
Published: (2025)
Similar Items
-
AutoPET III Challenge: PET/CT Semantic Segmentation
by: Safdari, Reza, et al.
Published: (2024) -
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
by: Kovacs, Balint, et al.
Published: (2024) -
Auto-nnU-Net: Towards Automated Medical Image Segmentation
by: Becktepe, Jannis, et al.
Published: (2025) -
Scaling nnU-Net for CBCT Segmentation
by: Isensee, Fabian, et al.
Published: (2024) -
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
by: Astaraki, Mehdi, et al.
Published: (2024)