AIMC Journal:
European radiology

Showing 361 to 370 of 621 articles

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis.

European radiology Feb 17, 2022
OBJECTIVES: AI-based algorithms for medical image analysis showed comparable performance to human image readers. However, in practice, diagnoses are made using multiple imaging modalities alongside other data sources. We determined the importance of ...
Algorithms Female Multimodal Imaging Breast Breast Neoplasms Humans Artificial Intelligence
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Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study.

European radiology Feb 16, 2022
OBJECTIVES: To compare image quality of deep learning reconstruction (AiCE) for radiomics feature extraction with filtered back projection (FBP), hybrid iterative reconstruction (AIDR 3D), and model-based iterative reconstruction (FIRST).
Tomography, X-Ray Computed Aged Deep Learning Humans Algorithms Radiation Dosage Phantoms, Imaging Abdomen Radiographic Image Interpretation, Computer-Assisted
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Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method.

European radiology Feb 15, 2022
OBJECTIVES: This study aimed to evaluate the efficacy of a combined wavelet and deep-learning reconstruction (DLR) method for under-sampled pituitary MRI.
Humans Deep Learning Magnetic Resonance Imaging Signal-To-Noise Ratio Algorithms Retrospective Studies
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Deep learning-based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images.

European radiology Feb 15, 2022
OBJECTIVES: To demonstrate the effectiveness of automatic segmentation of diffuse large B-cell lymphoma (DLBCL) in 3D FDG-PET scans using a deep learning approach and validate its value in prognosis in an external validation cohort.
Fluorodeoxyglucose F18 Positron-Emission Tomography Tumor Burden Humans Lymphoma, Large B-Cell, Diffuse Retrospective Studies Prognosis Deep Learning
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Polycystic liver: automatic segmentation using deep learning on CT is faster and as accurate compared to manual segmentation.

European radiology Feb 10, 2022
OBJECTIVE: This study aimed to develop and investigate the performance of a deep learning model based on a convolutional neural network (CNN) for the automatic segmentation of polycystic livers at CT imaging.
Humans Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Liver Retrospective Studies Tomography, X-Ray Computed
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Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours.

European radiology Jan 29, 2022
OBJECTIVE: To evaluate if a deep learning model can be used to characterise breast cancers on contrast-enhanced spectral mammography (CESM).
Female Contrast Media Humans Breast Neoplasms Receptors, Estrogen Retrospective Studies Mammography Deep Learning
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Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.

European radiology Jan 26, 2022
OBJECTIVES: To investigate the differentiation of premalignant from benign colorectal polyps detected by CT colonography using deep learning.
Colorectal Neoplasms Humans Male Colonic Polyps Aged Colonoscopy Precancerous Conditions Middle Aged Retrospective Studies Sensitivity and Specificity Deep Learning Colonography, Computed Tomographic
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Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.

European radiology Jan 23, 2022
OBJECTIVE: To distinguish benign from malignant cystic renal lesions (CRL) using a contrast-enhanced CT-based radiomics model and a clinical decision algorithm.
Risk Assessment Adolescent Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Machine Learning
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Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study.

European radiology Jan 22, 2022
OBJECTIVES: To compare the image quality and radiation dose of a deep learning image reconstruction (DLIR) algorithm compared with iterative reconstruction (IR) and filtered back projection (FBP) at different tube voltages and tube currents.
Algorithms Deep Learning Humans Radiation Dosage Image Processing, Computer-Assisted Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted
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Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

European radiology Jan 21, 2022
OBJECTIVES: This study was conducted to evaluate the effect of dose reduction on the performance of a deep learning (DL)-based computer-aided diagnosis (CAD) system regarding pulmonary nodule detection in a virtual screening scenario.
Radiation Dosage Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Algorithms Sensitivity and Specificity Humans Lung Neoplasms Tomography, X-Ray Computed
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