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Applying a data-driven population segmentation approach in German claims data
BackgroundSegmenting the population into homogenous groups according to their healthcare needs may help to understand the population’s demand for...
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How predictive of future healthcare utilisation and mortality is data-driven population segmentation based on healthcare utilisation and chronic condition comorbidity?
BackgroundIn recent years data-driven population segmentation using cluster analyses of mainly health care utilisation data has been used as a proxy...
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Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
ObjectivesTo develop and evaluate a deep convolutional neural network (DCNN) for automated liver segmentation, volumetry, and radiomic feature...
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Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging
Background and PurposeAutomated methods for quantifying brain tissue volumes have gained clinical interest for their objective assessment of...
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Multi-scale Bottleneck Residual Network for Retinal Vessel Segmentation
Precise segmentation of retinal vessels is crucial for the prevention and diagnosis of ophthalmic diseases. In recent years, deep learning has shown...
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A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains
The emergence of various deep learning approaches in diagnostic medical image segmentation has made machines capable of accomplishing human-level...
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Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images
PurposeIn pathology images, different stains highlight different glomerular structures, so a supervised deep learning-based glomerular instance...
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Automatic healthy liver segmentation for holmium-166 radioembolization dosimetry
BackgroundFor safe and effective holmium-166 ( 166 Ho) liver radioembolization, dosimetry is crucial and requires accurate healthy liver definition....
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Deep learning in pulmonary nodule detection and segmentation: a systematic review
ObjectivesThe accurate detection and precise segmentation of lung nodules on computed tomography are key prerequisites for early diagnosis and...
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Left Ventricular Segmentation, Warping, and Myocardial Registration for Automated Strain Measurement
The left ventricular global longitudinal strain (LVGLS) is a crucial prognostic indicator. However, inconsistencies in measurements due to the...
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Imaging segmentation mechanism for rectal tumors using improved U-Net
ObjectiveIn radiation therapy, cancerous region segmentation in magnetic resonance images (MRI) is a critical step. For rectal cancer, the automatic...
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Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods
ObjectiveAutomated methods for prostate segmentation on MRI are typically developed under ideal scanning and anatomical conditions. This study...
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An Automated Vertebrae Localization, Segmentation, and Osteoporotic Compression Fracture Detection Pipeline for Computed Tomographic Imaging
Osteoporosis is the most common chronic metabolic bone disease worldwide. Vertebral compression fracture (VCF) is the most common type of...
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Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study
BackgroundBody composition during childhood may predispose to negative health outcomes later in life. Automatic segmentation may assist in...
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Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data
PurposeSegmentation of ossified ligamentum flavum (OLF) plays a crucial role in developing computer-assisted, image-guided systems for decompressive...
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Manual prostate MRI segmentation by readers with different experience: a study of the learning progress
ObjectiveTo evaluate the learning progress of less experienced readers in prostate MRI segmentation.
Materials and methodsOne hundred bi-parametric...
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Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters
ObjectivesTo investigate the clinical utility of fully-automated 3D organ segmentation in assessing hepatic steatosis on pre-contrast and...
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Qualitative assessment of providers’ experiences with a segmentation counseling tool for family planning in Niger
IntroductionThis study examines experiences with a family planning segmentation counseling tool that is used during the provision of family planning...
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A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
ObjectivesTo determine the value of a deep learning masked (DLM) auto-fixed volume of interest (VOI) segmentation method as an alternative to manual...
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An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images
Spine fractures represent a critical health concern with far-reaching implications for patient care and clinical decision-making. Accurate...
