AIMC Topic: Magnetic Resonance Imaging
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The Value of Whole-Volume Radiomics Machine Learning Model Based on Multiparametric MRI in Predicting Triple-Negative Breast Cancer.
Journal of computer assisted tomography
Nov 25, 2024
OBJECTIVE: This study aimed to investigate the value of radiomics analysis in the precise diagnosis of triple-negative breast cancer (TNBC) based on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and apparent diffusion coeffici...
Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.
Journal of applied clinical medical physics
Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Humans
Artificial Intelligence
Tomography, X-Ray Computed
Brain Neoplasms
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Radiotherapy Dosage
Radiotherapy, Intensity-Modulated
Patient Positioning
Phantoms, Imaging
Workflow
Radiotherapy Planning, Computer-Assisted
Quality Assurance, Health Care
Deep-learning assessment of hippocampal magnetic susceptibility in Alzheimer's disease.
Journal of Alzheimer's disease : JAD
Nov 25, 2024
BACKGROUND: Quantitative susceptibility mapping (QSM) is pivotal for analyzing neurodegenerative diseases. However, accurate hippocampal segmentation remains a challenge.
Identification and cognitive function prediction of Alzheimer's disease based on multivariate pattern analysis of hippocampal volumes.
Journal of Alzheimer's disease : JAD
Nov 25, 2024
BACKGROUND: Alzheimer's disease (AD) is strongly associated with slowly progressive hippocampal atrophy. Elucidating the relationships between local morphometric changes and disease status for early diagnosis could be aided by machine learning algori...
Deep learning-accelerated T2WI of the prostate for transition zone lesion evaluation and extraprostatic extension assessment.
Scientific reports
Nov 25, 2024
This bicenter retrospective analysis included 162 patients who had undergone prostate biopsy following prebiopsy MRI, excluding those with PCa identified only in the peripheral zone (PZ). DLR T2WI achieved a 69% reduction in scan time relative to TSE...
MedSegBench: A comprehensive benchmark for medical image segmentation in diverse data modalities.
Scientific data
Nov 25, 2024
MedSegBench is a comprehensive benchmark designed to evaluate deep learning models for medical image segmentation across a wide range of modalities. It covers a wide range of modalities, including 35 datasets with over 60,000 images from ultrasound, ...
CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation.
Medical image analysis
Nov 24, 2024
Deep learning shows promise for medical image segmentation but suffers performance declines when applied to diverse healthcare sites due to data discrepancies among the different sites. Translating deep learning models to new clinical environments is...
Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning.
NeuroImage
Nov 24, 2024
Differences in iron accumulation patterns have been observed in susceptibility-weighted images across different classes of atypical parkinsonian syndromes (APS). Deep learning methods have shown great potential in automatically detecting these differ...
Pulmonary Xe MRI: CNN Registration and Segmentation to Generate Ventilation Defect Percent with Multi-center Validation.
Academic radiology
Nov 23, 2024
RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the ratio of Xe signal-void to the anatomic H MRI thoracic-cavity-volume. VDP is associated with airway inflammation and disease control and serves as a trea...
Leveraging AI models for lesion detection in osteonecrosis of the femoral head and T1-weighted MRI generation from radiographs.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Nov 23, 2024
This study emphasizes the importance of early detection of osteonecrosis of the femoral head (ONFH) in young patients on long-term glucocorticoid therapy, including those with acute lymphoblastic leukemia, lupus, and other diagnoses. While X-ray and ...
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