Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, am...

Mar 2025 40112652
A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair.

OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative...

Mar 2025 40090490
Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal.

Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) ...

Mar 2025 40087354
AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation.

BACKGROUND: Magnetic Resonance (MR) imaging is the preferred modality for staging in rectal cancer; ...

Mar 2025 40087634
DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic ...

Mar 2025 40089082
Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis.

Schizophrenia (SZ) is a complex mental disorder characterized by a profound disruption in cognition ...

Mar 2025 40096788
Deep learning in nuclear medicine: from imaging to therapy.

BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkabl...

Mar 2025 40080372
Deep learning-based automated segmentation of cardiac real-time MRI in non-human primates.

Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascul...

Mar 2025 40086292
ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning.

Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional dia...

Mar 2025 40082527
Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models.

The segmentation of liver margins in computed tomography (CT) images presents significant challenges...

Mar 2025 40082561
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.

BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic reso...

Mar 2025 40082955
A brief history and clinical use of robotic procedures in the cardiovascular system.

Robotic-assisted percutaneous coronary intervention (r-PCI) exemplifies the advancement of intervent...

Mar 2025 40078083
SSAT-Swin: Deep Learning-Based Spinal Ultrasound Feature Segmentation for Scoliosis Using Self-Supervised Swin Transformer.

OBJECTIVE: Scoliosis, a 3-D spinal deformity, requires early detection and intervention. Ultrasound ...

Mar 2025 40082183
Deep learning empowered gadolinium-free contrast-enhanced abbreviated MRI for diagnosing hepatocellular carcinoma.

BACKGROUND & AIMS: By reducing some magnetic resonance imaging (MRI) sequences, abbreviated MRI (aMR...

Mar 2025 40337547
Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, pr...

Mar 2025 40069321
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer.

BACKGROUND: Programmed death ligand 1 (PD-L1) expression status, closely related to immunotherapy ou...

Mar 2025 40075494
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