Lightweight AI Accurately Identifies Pediatric Lung Infiltrates on Chest Radiographs
A lightweight MobileNet V2 deep learning model detected pediatric pulmonary infiltrates with 90 percent accuracy and 95 percent sensitivity while ...
Tag: Medical Imaging
Improved 2.5D-UNet Enhances Pseudo-CT Generation for Head PET Attenuation Correction
A 2.5D-UNet architecture using consecutive PET slices outperforms standard 2D models in generating pseudo-CT scans for PET attenuation correction.
CT Foundation Model Predicts Liver Cancer Aggressiveness and Recurrence Risk Non-Invasively
A multicenter study demonstrates that a sequential CT lesion foundation model accurately evaluates microvascular invasion and tumor grade while predicting ...
MRI Radiogenomic Score Captures Tumor Microenvironment Signatures in Nasopharyngeal Carcinoma
Researchers developed a contrast-enhanced MRI radiogenomic surrogate reflecting a composite hypoxia, angiogenesis, and epithelial–mesenchymal transition transcriptional state that associates with ...
Wavelet Network Enhances Small Vascular Segmentation in Medical Angiography
Researchers developed a wavelet-bilateral gated transfer network that improved automated segmentation of small-scale vascular structures on clinically acquired computed tomography ...
Degraded Chest Radiographs Reduce Diagnostic Sensitivity in Deep Learning Tuberculosis Detection Models
Deep learning models for tuberculosis screening suffer substantial diagnostic sensitivity losses and increased calibration error when evaluated on chest radiographs ...
CT Histogram Radiomics Accurately Distinguishes Middle Ear Cholesteatoma
A retrospective study demonstrates that histogram-based radiomic texture analysis of temporal bone HRCT scans accurately differentiates middle ear cholesteatoma from ...
Machine Learning Model Integrates Multimodal Data to Stratify Glioblastoma Survival Risk
A multimodal machine learning nomogram combining clinical, radiomics, and pathomics features improved overall survival risk stratification in patients with IDH-wildtype ...
Systematic review maps the state of AI deepfake detection across modalities and domains
A PRISMA-based systematic review of 142 primary studies categorises AI deepfake generation and detection methods and identifies dataset bias, poor ...
Benchmarking Deep Transfer Learning Models for COVID-19 Lung Ultrasound Detection
A systematic benchmarking study demonstrates that DenseNet-121 paired with the Adam optimizer achieves exceptional diagnostic accuracy in detecting COVID-19 from ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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