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Showing 2353-2373 of 14,384 articles

ARTIFICIAL INTELLIGENCE ENHANCES DIAGNOSTIC ACCURACY OF CONTRAST ENEMAS IN HIRSCHSPRUNG DISEASE COMPARED TO CLINICAL EXPERTS.

Introduction Contrast enema (CE) is widely used in the evaluation of suspected Hirschsprung disease ...

Jul 2025 40592491

Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.

This study aimed to develop and validate convolutional neural network (CNN) models for distinguishin...

Jul 2025 40592967

Anterior cruciate ligament tear detection based on Res2Net modified by improved Lévy flight distribution.

Anterior Cruciate Ligament (ACL) tears are common in sports and can provide noteworthy health issues...

Jul 2025 40592990

Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features.

To develop and validate a machine learning-based prediction model to predict axillary lymph node (AL...

Jul 2025 40593097

FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI.

Ankylosing Spondylitis (AS), commonly known as Bechterew's disease, is a complex, potentially disabl...

Jul 2025 40593288

Predictive value of subacromial motion metrics for the effectiveness of ultrasound-guided dual-target injection: a longitudinal follow-up cohort trial.

OBJECTIVE: Subacromial impingement syndrome (SIS) frequently causes shoulder pain. This study aimed ...

Jul 2025 40593369

Developments in MRI radiomics research for vascular cognitive impairment.

Vascular cognitive impairment (VCI) is an umbrella term for diseases associated with cognitive decli...

Jul 2025 40593438

Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset.

Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis...

Jul 2025 40593874

Machine learning model for predicting Amyloid-β positivity and cognitive status using early-phase F-Florbetaben PET and clinical features.

This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by inte...

Jul 2025 40594040

Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segment...

Jul 2025 40594922

Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare.

Brain tumor causes life-threatening consequences due to which its timely detection and accurate clas...

Jul 2025 40595253

A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images.

Ultrasound guidance images are widely used for high intensity focused ultrasound (HIFU) therapy; how...

Jul 2025 40595279

Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification.

Brain tumors are a significant contributor to cancer-related deaths worldwide. Accurate and prompt d...

Jul 2025 40595383

A deep convolutional neural network-based novel class balancing for imbalance data segmentation.

Retinal fundus images provide valuable insights into the human eye's interior structure and crucial ...

Jul 2025 40595795

Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients.

This study aimed to develop a machine learning model based on Magnetic Resonance Imaging (MRI) radio...

Jul 2025 40595796

Attention residual network for medical ultrasound image segmentation.

Ultrasound imaging can distinctly display the morphology and structure of internal organs within the...

Jul 2025 40595803

Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.

Clinical two-dimensional (2D) MRI data has seen limited application in the early diagnosis of Parkin...

Jul 2025 40595813

Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers.

OBJECTIVE: This study aims to establish a machine learning prediction model to explore the correlati...

Jul 2025 40596940

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ARTIFICIAL INTELLIGENCE ENHANCES DIAGNOSTIC ACCURACY OF CONTRAST ENEMAS IN HIRSCHSPRUNG DISEASE COMPARED TO CLINICAL EXPERTS.

Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.

Anterior cruciate ligament tear detection based on Res2Net modified by improved Lévy flight distribution.

Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features.

FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI.

Predictive value of subacromial motion metrics for the effectiveness of ultrasound-guided dual-target injection: a longitudinal follow-up cohort trial.

Developments in MRI radiomics research for vascular cognitive impairment.

Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset.

Machine learning model for predicting Amyloid-β positivity and cognitive status using early-phase F-Florbetaben PET and clinical features.

Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare.

A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images.

Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification.

A deep convolutional neural network-based novel class balancing for imbalance data segmentation.

Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients.

Attention residual network for medical ultrasound image segmentation.

Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.

Evaluation of MRI-based synthetic CT for lumbar degenerative disease: a comparison with CT.

Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques.

Quantitative ultrasound classification of healthy and chemically degraded ex-vivo cartilage.

Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers.

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