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Showing 2668-2688 of 3,098 articles

Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound

Monitoring the growth of subcortical regions of the fetal brain in ultrasound (US) images can help...

Feb 2025 http://arxiv.org/abs/2502.08774v1

Ultrasound Image Generation using Latent Diffusion Models

Diffusion models for image generation have been a subject of increasing interest due to their abil...

Feb 2025 http://arxiv.org/abs/2502.08580v1

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images

Prostate cancer is a leading health concern among men, requiring accurate and accessible methods f...

Feb 2025 http://arxiv.org/abs/2502.07859v1

AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt

Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR ...

Feb 2025 http://arxiv.org/abs/2502.05603v1

Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation

Medical ultrasound has been widely used to examine vascular structure in modern clinical practice....

Feb 2025 http://arxiv.org/abs/2502.05053v1

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy

A key step in Adaptive Radiation Therapy (ART) workflows is the evaluation of the patient's anatom...

Feb 2025 http://arxiv.org/abs/2502.04898v1

Reinforcement Learning on Dyads to Enhance Medication Adherence

Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have ...

Feb 2025 http://arxiv.org/abs/2502.06835v2

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction

Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. How...

Feb 2025 http://arxiv.org/abs/2502.03783v2

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation

Domain adaptation (DA) for cardiac ultrasound image segmentation is clinically significant and val...

Feb 2025 http://arxiv.org/abs/2502.03781v1

Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning

This study introduces a motion-based learning network with a global-local self-attention module (M...

Feb 2025 http://arxiv.org/abs/2502.03505v1

FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI

Diffusion MRI (dMRI) provides unique insights into fetal brain microstructure in utero. Longitudin...

Feb 2025 http://arxiv.org/abs/2502.01057v3

Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Images

Accurate estimation of human hand configuration and the forces they exert is critical for effectiv...

Feb 2025 http://arxiv.org/abs/2502.00275v1

Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language proc...

Feb 2025 39569431

Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...

Feb 2025 39835767

Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health a...

Feb 2025 39917850

Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates

Developing new methods for the automated analysis of clinical fetal and neonatal MRI data is limit...

Jan 2025 http://arxiv.org/abs/2501.19338v1

Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

We introduce a novel segmentation-aware joint training framework called generative reinforcement n...

Jan 2025 http://arxiv.org/abs/2501.17690v2

Obstetrics & Gynecology

Browse Categories

Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound

Ultrasound Image Generation using Latent Diffusion Models

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images

AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt

Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy

Reinforcement Learning on Dyads to Enhance Medication Adherence

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation

Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning

FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI

Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Images

Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates

Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

Efficient Knowledge Distillation of SAM for Medical Image Segmentation

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models

Revisiting Data Augmentation for Ultrasound Images

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