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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 2248-2268 of 14,384 articles

Intratumoral and peritumoral radiomics based on 2D ultrasound imaging in breast cancer was used to determine the optimal peritumoral range for predicting KI-67 expression.

OBJECTIVES: Currently, radiomics focuses on intratumoral regions and fixed peritumoral regions, and ...

Jul 2025 40640519

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer.

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imagin...

Jul 2025 40640522

FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a significant risk factor for liver cancer ...

Jul 2025 40640704

MRI sequence focused on pancreatic morphology evaluation: three-shot turbo spin-echo with deep learning-based reconstruction.

BackgroundHigher-resolution magnetic resonance imaging sequences are needed for the early detection ...

Jul 2025 40641210

BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.

Breast cancer is the leading cause of death among women worldwide, and early detection through the s...

Jul 2025 40586715

From Snapshots to Stable Outcomes: Resting-State Functional Magnetic Resonance Imaging-Based Prognosis of Functioning in Patients With Psychosis Risk or Recent-Onset Depression.

BACKGROUND: Early recovery of functioning is critical for favorable outcomes in psychotic and affect...

Jul 2025 40645362

AI Revolution in Radiology, Radiation Oncology and Nuclear Medicine: Transforming and Innovating the Radiological Sciences.

The integration of artificial intelligence (AI) into clinical practice, particularly within radiolog...

Jul 2025 40631621

Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.

Purpose To improve the generalizability of pathologic complete response (pCR) prediction following ...

Jul 2025 40631989

MRI-based interpretable clinicoradiological and radiomics machine learning model for preoperative prediction of pituitary macroadenomas consistency: a dual-center study.

PURPOSE: To establish an interpretable and non-invasive machine learning (ML) model using clinicorad...

Jul 2025 40632147

Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques.

Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing s...

Jul 2025 40634463

Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images.

Magnetic resonance imaging of the lumbar spine is a key technique for clarifying the cause of diseas...

Jul 2025 40634500

Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pat...

Jul 2025 40634513

A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography.

BACKGROUND: In most medical centers, particularly in primary hospitals, non-contrast computed tomogr...

Jul 2025 40634841

Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

INTRODUCTION: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infect...

Jul 2025 40635011

Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) respons...

Jul 2025 40629283

Differentiated thyroid cancer and positron emission computed tomography: when, how and why?

INTRODUCTION: Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) has b...

Jul 2025 40608987

OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.

Glioma is the most common primary malignant brain tumor and preoperative genetic profiling is essent...

Jul 2025 40627394

Browse Categories

Intratumoral and peritumoral radiomics based on 2D ultrasound imaging in breast cancer was used to determine the optimal peritumoral range for predicting KI-67 expression.

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer.

FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD.

MRI sequence focused on pancreatic morphology evaluation: three-shot turbo spin-echo with deep learning-based reconstruction.

BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.

From Snapshots to Stable Outcomes: Resting-State Functional Magnetic Resonance Imaging-Based Prognosis of Functioning in Patients With Psychosis Risk or Recent-Onset Depression.

AI Revolution in Radiology, Radiation Oncology and Nuclear Medicine: Transforming and Innovating the Radiological Sciences.

Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.

MRI-based interpretable clinicoradiological and radiomics machine learning model for preoperative prediction of pituitary macroadenomas consistency: a dual-center study.

Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques.

Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images.

Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography.

Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

Differentiated thyroid cancer and positron emission computed tomography: when, how and why?

OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.

Contemporary Concise Review 2024: New Techniques in Interventional Pulmonology.

Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels.

Post-hoc eXplainable AI methods for analyzing medical images of gliomas (- A review for clinical applications).

Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects.

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