Cover Image

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Hongyi, Hong, Ziliang, Durak, Gorkem, Xu, Ziyue, Bagci, Ulas
Format:	Preprint
Published:	2025
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

Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation
by: Peng, Linkai, et al.
Published: (2024)

TAGS: 3D Tumor-Adaptive Guidance for SAM
by: Li, Sirui, et al.
Published: (2025)

MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
by: Zafari, Yalda, et al.
Published: (2025)

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
by: Hong, Ziliang, et al.
Published: (2024)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)

A New Logic For Pediatric Brain Tumor Segmentation
by: Bengtsson, Max, et al.
Published: (2024)

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)

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
by: Zhang, Zheyuan, et al.
Published: (2025)

CT Liver Segmentation via PVT-based Encoding and Refined Decoding
by: Jha, Debesh, et al.
Published: (2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
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)

PAM-UNet: Shifting Attention on Region of Interest in Medical Images
by: Das, Abhijit, et al.
Published: (2024)

Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
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)

TransRUPNet for Improved Polyp Segmentation
by: Jha, Debesh, et al.
Published: (2023)

A Reverse Mamba Attention Network for Pathological Liver Segmentation
by: Zeng, Jun, et al.
Published: (2025)

Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation
by: Tai, Chi-en Amy, et al.
Published: (2024)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
by: Pan, Hongyi, et al.
Published: (2024)

Hybrid Diffusion Model for Breast Ultrasound Image Augmentation
by: Abir, Farhan Fuad, et al.
Published: (2026)

Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
by: Tai, Chi-en Amy, et al.
Published: (2024)

Liver Cirrhosis Stage Estimation from MRI with Deep Learning
by: Zeng, Jun, et al.
Published: (2025)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients
by: Dou, Wanying, et al.
Published: (2025)

Frequency-Based Federated Domain Generalization for Polyp Segmentation
by: Pan, Hongyi, et al.
Published: (2024)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
by: Gorade, Vandan, et al.
Published: (2024)

Revisiting Data Augmentation for Ultrasound Images
by: Tupper, Adam, et al.
Published: (2025)

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
by: Lopez, Eleonora, et al.
Published: (2023)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
by: Biswas, Koushik, et al.
Published: (2024)

A Probabilistic Hadamard U-Net for MRI Bias Field Correction
by: Zhu, Xin, et al.
Published: (2024)

Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
by: Tai, Chi-en Amy, et al.
Published: (2024)

Large Scale MRI Collection and Segmentation of Cirrhotic Liver
by: Jha, Debesh, et al.
Published: (2024)

CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images
by: Banerjee, Sheekar, et al.
Published: (2023)

External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images
by: Chen, Yuxuan, et al.
Published: (2026)

Ultrasound-QBench: Can LLMs Aid in Quality Assessment of Ultrasound Imaging?
by: Miao, Hongyi, et al.
Published: (2025)

Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
by: Tai, Chi-en Amy, et al.
Published: (2024)

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
by: Brown-Mulry, Beatrice, et al.
Published: (2025)

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
by: Derakhshandeh, Sina, et al.
Published: (2024)

Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images
by: Tupper, Adam, et al.
Published: (2024)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
by: Luo, Gongning, et al.
Published: (2025)

Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
by: Feng, Yihong, et al.
Published: (2025)