Cover Image

Curriculum Learning with Synthetic Data for Enhanced Pulmonary Nodule Detection in Chest Radiographs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sambhu, Pranav, Guin, Om, Sambhu, Madhav, Cha, Jinho
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

Uncertainty-Aware Learning Policy for Reliable Pulmonary Nodule Detection on Chest X-Ray
by: Choi, Hyeonjin, et al.
Published: (2025)

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs
by: Zhou, Yiliang, et al.
Published: (2024)

Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning
by: Dorosti, Tina, et al.
Published: (2021)

Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
by: Chandrashekar, Mayanka, et al.
Published: (2024)

Anatomic Feature Fusion Model for Diagnosing Calcified Pulmonary Nodules on Chest X-Ray
by: Choi, Hyeonjin, et al.
Published: (2025)

MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
by: Cai, Guohui, et al.
Published: (2024)

Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs
by: Bhusal, Dipkamal, et al.
Published: (2022)

From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification
by: Kulkarni, Pranav, et al.
Published: (2023)

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
by: Pan, Hongyi, et al.
Published: (2025)

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports
by: Zhang, Xiaoman, et al.
Published: (2025)

Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation
by: Yang, Bingyu, et al.
Published: (2024)

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images
by: Nettur, Suresh Babu, et al.
Published: (2025)

Deep Learning-Based Pneumonia Detection from Chest X-ray Images: A CNN Approach with Performance Analysis and Clinical Implications
by: Dutta, P K, et al.
Published: (2025)

The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation
by: Dutt, Raman
Published: (2025)

Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
by: Pramana, A. A. G. Yogi, et al.
Published: (2024)

Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imaging
by: Haugland, Mathias Ramm, et al.
Published: (2024)

FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
by: Roy, Ayush, et al.
Published: (2024)

Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
by: Muharram, Arief Purnama, et al.
Published: (2023)

Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data
by: Kim, Jinho, et al.
Published: (2024)

Zero-shot self-supervised learning of single breath-hold magnetic resonance cholangiopancreatography (MRCP) reconstruction
by: Kim, Jinho, et al.
Published: (2025)

Specialty-Oriented Generalist Medical AI for Chest CT Screening
by: Niu, Chuang, et al.
Published: (2023)

AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
by: Li, Xueyang, et al.
Published: (2025)

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2
by: Hossain, Md. Zahid, et al.
Published: (2025)

A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules
by: Zhou, Yihan, et al.
Published: (2025)

CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning
by: Wang, Meng, et al.
Published: (2025)

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach
by: Das, Sagarnil, et al.
Published: (2025)

An Efficient Approach to Detecting Lung Nodules Using Swin Transformer
by: Shakuri, Saeed, et al.
Published: (2025)

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
by: Baharoon, Mohammed, et al.
Published: (2025)

Artificial Intelligence-Driven Prognostic Classification of COVID-19 Using Chest X-rays: A Deep Learning Approach
by: Simbun, Alfred, et al.
Published: (2025)

Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
by: Zhao, Ruijie, et al.
Published: (2025)

Synthetic Data in Radiological Imaging: Current State and Future Outlook
by: Sizikova, Elena, et al.
Published: (2024)

GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT
by: Zhou, Xianhao, et al.
Published: (2025)

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
by: Liu, Kang, et al.
Published: (2024)

AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
by: Khater, Omar Hesham, et al.
Published: (2024)

MedImageInsight for Thoracic Cavity Health Classification from Chest X-rays
by: Boya, Rama Krishna, et al.
Published: (2025)

Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates
by: Kaandorp, Misha P. T, et al.
Published: (2025)

Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation
by: Lee, Seungyeop, et al.
Published: (2024)

AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images
by: Zhao, Xin, et al.
Published: (2024)

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
by: Bai, Bizhe, et al.
Published: (2024)

Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
by: Tschuchnig, Maximilian, et al.
Published: (2025)