Cover Image

Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hwang, Ung, Lee, Chang-Hun, Yoon, Kijung
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NL-MambaXCT: Self-Supervised Nested-Learning Mamba for Nomex Honeycomb X-ray CT Defect Classification
by: Aldoboni, Ghaleb, et al.
Published: (2026)

Self-Supervised Ultrasound Representation Learning for Renal Anomaly Prediction in Prenatal Imaging
by: Megahed, Youssef, et al.
Published: (2025)

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
by: Huang, Jiaxing, et al.
Published: (2025)

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
by: Liu, Zelong, et al.
Published: (2024)

Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)

Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification
by: Wang, Yuli, et al.
Published: (2026)

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
by: Nasiri, Hamid, et al.
Published: (2022)

Feature-level Site Leakage Reduction for Cross-Hospital Chest X-ray Transfer via Self-Supervised Learning
by: Bouaziz, Ayoub Louaye, et al.
Published: (2026)

SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
by: Yao, Xing, et al.
Published: (2024)

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)

CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
by: Ranne, Alex, et al.
Published: (2024)

Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
by: Scanvic, Jérémy, et al.
Published: (2023)

MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
by: Fahad, Nafiz, et al.
Published: (2024)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
by: Zou, Jingchen, et al.
Published: (2025)

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
by: Das, Alloy, et al.
Published: (2024)

UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
by: Li, Yijie, et al.
Published: (2025)

Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules
by: Siddiqua, Ayesha, et al.
Published: (2024)

Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
by: Jiang, Runmin, et al.
Published: (2024)

Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture
by: Li, Weijie, et al.
Published: (2023)

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
by: Capellán-Martín, Daniel, et al.
Published: (2024)

Survey of AI-Powered Approaches for Osteoporosis Diagnosis in Medical Imaging
by: Rahman, Abdul, et al.
Published: (2025)

Exploiting Self-Supervised Constraints in Image Super-Resolution
by: Wu, Gang, et al.
Published: (2024)

Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction
by: Lu, Yucheng, et al.
Published: (2025)

A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation
by: Najafian, Keyhan, et al.
Published: (2024)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
by: Bi, Yali, et al.
Published: (2025)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
by: Ali, Shams Nafisa, et al.
Published: (2026)

Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks
by: Qamar, Saqib
Published: (2025)

Semi-Supervised Disease Classification based on Limited Medical Image Data
by: Zhang, Yan, et al.
Published: (2024)

DDPM based X-ray Image Synthesizer
by: Mahaulpatha, Praveen, et al.
Published: (2024)

MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images
by: Wang, Yaqi, et al.
Published: (2025)

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
by: Liao, Xiangyu, et al.
Published: (2024)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
by: Zhu, Wenhui, et al.
Published: (2024)

Weakly Supervised Segmentation and Classification of Alpha-Synuclein Aggregates in Brightfield Midbrain Images
by: Dereure, Erwan, et al.
Published: (2025)

SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation
by: Simons, Samuel J., et al.
Published: (2024)

Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
by: Elmanna, Mohamed, et al.
Published: (2024)

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)

MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
by: Gupta, Anubhav, et al.
Published: (2024)

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)