Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Linkai, Zhang, Zheyuan, Durak, Gorkem, Miller, Frank H., Medetalibeyoglu, Alpay, Wallace, Michael B., Bagci, Ulas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TAGS: 3D Tumor-Adaptive Guidance for SAM
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
by: Hong, Ziliang, et al.
Published: (2024)
by: Hong, Ziliang, 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)
Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
by: Pan, Hongyi, et al.
Published: (2025)
by: Pan, Hongyi, et al.
Published: (2025)
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
by: Jha, Debesh, et al.
Published: (2024)
by: Jha, Debesh, et al.
Published: (2024)
Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)
by: Zhang, Zheyuan, et al.
Published: (2024)
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
by: Jha, Debesh, et al.
Published: (2024)
by: Jha, Debesh, et al.
Published: (2024)
Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost
by: Tur, Yalcin, et al.
Published: (2024)
by: Tur, Yalcin, et al.
Published: (2024)
A Reverse Mamba Attention Network for Pathological Liver Segmentation
by: Zeng, Jun, et al.
Published: (2025)
by: Zeng, Jun, et al.
Published: (2025)
A New Logic For Pediatric Brain Tumor Segmentation
by: Bengtsson, Max, et al.
Published: (2024)
by: Bengtsson, Max, et al.
Published: (2024)
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
by: Biswas, Koushik, et al.
Published: (2024)
by: Biswas, Koushik, et al.
Published: (2024)
Liver Cirrhosis Stage Estimation from MRI with Deep Learning
by: Zeng, Jun, et al.
Published: (2025)
by: Zeng, Jun, et al.
Published: (2025)
Frequency-Based Federated Domain Generalization for Polyp Segmentation
by: Pan, Hongyi, et al.
Published: (2024)
by: Pan, Hongyi, et al.
Published: (2024)
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
by: Pan, Hongyi, et al.
Published: (2024)
by: Pan, Hongyi, et al.
Published: (2024)
Large Scale MRI Collection and Segmentation of Cirrhotic Liver
by: Jha, Debesh, et al.
Published: (2024)
by: Jha, Debesh, et al.
Published: (2024)
IPMN Risk Assessment under Federated Learning Paradigm
by: Pan, Hongyi, et al.
Published: (2024)
by: Pan, Hongyi, et al.
Published: (2024)
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
by: Zafari, Yalda, et al.
Published: (2025)
by: Zafari, Yalda, et al.
Published: (2025)
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction
by: Zhu, Xin, et al.
Published: (2025)
by: Zhu, Xin, et al.
Published: (2025)
Cyst-X: A Federated AI System Outperforms Clinical Guidelines to Detect Pancreatic Cancer Precursors and Reduce Unnecessary Surgery
by: Pan, Hongyi, et al.
Published: (2025)
by: Pan, Hongyi, 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)
Ensemble Models for Predicting Treatment Response in Pediatric Low-Grade Glioma Managed with Chemotherapy
by: Bengtsson, Max, et al.
Published: (2026)
by: Bengtsson, Max, et al.
Published: (2026)
TransRUPNet for Improved Polyp Segmentation
by: Jha, Debesh, et al.
Published: (2023)
by: Jha, Debesh, et al.
Published: (2023)
Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients
by: Dou, Wanying, et al.
Published: (2025)
by: Dou, Wanying, et al.
Published: (2025)
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
PanTS: The Pancreatic Tumor Segmentation Dataset
by: Li, Wenxuan, et al.
Published: (2025)
by: Li, Wenxuan, et al.
Published: (2025)
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
by: Gorade, Vandan, et al.
Published: (2024)
by: Gorade, Vandan, et al.
Published: (2024)
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)
by: Saragih, Daniel, et al.
Published: (2023)
Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
by: Ferreira, André, et al.
Published: (2025)
by: Ferreira, André, et al.
Published: (2025)
MIP-Based Tumor Segmentation: A Radiologist-Inspired Approach
by: Zarik, Romario, et al.
Published: (2025)
by: Zarik, Romario, et al.
Published: (2025)
PAM-UNet: Shifting Attention on Region of Interest in Medical Images
by: Das, Abhijit, et al.
Published: (2024)
by: Das, Abhijit, et al.
Published: (2024)
Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
by: Chakrabarty, Satrajit, et al.
Published: (2026)
by: Chakrabarty, Satrajit, et al.
Published: (2026)
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
by: Zhang, Zheyuan, et al.
Published: (2023)
by: Zhang, Zheyuan, et al.
Published: (2023)
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
by: Subedi, Aliza, et al.
Published: (2024)
by: Subedi, Aliza, et al.
Published: (2024)
Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
by: Sharma, Vanshali, et al.
Published: (2025)
by: Sharma, Vanshali, et al.
Published: (2025)
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
by: Feng, Yihong, et al.
Published: (2025)
by: Feng, Yihong, et al.
Published: (2025)
Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)
by: Zhang, Peng, et al.
Published: (2023)
Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)
by: Shen, Yiqing, et al.
Published: (2024)
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
by: Gao, Yifan, et al.
Published: (2024)
by: Gao, Yifan, et al.
Published: (2024)
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net
by: Ziaee, Seyed Sina, et al.
Published: (2025)
by: Ziaee, Seyed Sina, et al.
Published: (2025)
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)
by: Ayman, Ahmed
Published: (2023)
Similar Items
-
TAGS: 3D Tumor-Adaptive Guidance for SAM
by: Li, Sirui, et al.
Published: (2025) -
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
by: Hong, Ziliang, et al.
Published: (2024) -
Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
by: Zhang, Zheyuan, et al.
Published: (2025) -
Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
by: Pan, Hongyi, et al.
Published: (2025) -
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
by: Jha, Debesh, et al.
Published: (2024)