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Clinical value of automated volumetric quantification of early ...


Clinical value of automated volumetric quantification of early ...

Abstract. Background: Quantitative and automated volumetric evaluation of early ischemic changes on non-contrast CT (NCCT) has recently been ...

Clinical value of automated volumetric quantification of early ...

AIV is an independent predictor of clinical outcome and presented a non-inferior performance compared with ASPECTS, without clear advantages for prognostic ...

Clinical value of automated volumetric quantification of early ...

No significant difference was found between machine-learning models using either AIV or ASPECTS or both metrics for predicting a good clinical ...

Clinical value of automated volumetric quantification of early ...

No significant difference was found between machine-learning models using either AIV or ASPECTS or both metrics for predicting a good clinical outcome (p>0.05).

Clinical value of automated volumetric quantification of early ...

Clinical value of automated volumetric quantification of early ischemic tissue changes on non-contrast CT · G. Brugnara, Peter Mihalicz, +7 authors. U. Neuberger ...

Clinical value of automated volumetric - ProQuest

Clinical value of automated volumetric quantification of early ischemic tissue changes on non-contrast CT. Brugnara, Gianluca; Mihalicz, Peter; Herweh ...

Clinical value of automated volumetric quantification of early ... - BVS

Clinical value of automated volumetric quantification of early ischemic tissue changes on non-contrast CT. Brugnara, Gianluca; Mihalicz, Peter; Herweh, ...

Automated quantification of atrophy and acute ischemic volume for ...

Combinations of automated software-based imaging analysis and clinical data can be useful for predicting short-term neurological outcome and ...

Prognostic impact of artificial intelligence-based volumetric ...

Highlights · Appropriate evaluation of solid component of early-stage lung cancer is crucial. · A new volumetric analysis technique based on artificial ...

EASE: Clinical Implementation of Automated Tumor Segmentation ...

In its first 3 months of usage, it was applied to a total of 55 patients, and in 36 of those the radiologist was able to make a volume-based ...

Automated detection and quantification of brain metastases on ...

The performance of detecting CE lesions on the validation dataset was not significantly affected when evaluating different volumetric thresholds ...

Fully automated quantification of biventricular volumes and function ...

Fully automated quantification of biventricular morphology and function is feasible and accurate in the majority of cases in a clinical routine ...

Automated Quantification in Echocardiography | JACC

Studies comparing manual versus automated quantification on individual patient management decisions and clinical outcomes are therefore needed ...

Fully Automated Cardiac Assessment for Diagnostic and Prognostic ...

User‐independent volumetric analyses performed by fully automated software are feasible, and results are equally predictive of major adverse ...

CT‐based volumetric measures obtained through deep learning ...

Automated cranial computed tomography (CT) brain tissue classification approaches for brain atrophy assessment and brain volumetry are currently ...

Validation of a semi-automated method to quantify lesion volume ...

The semi-automated method to quantify lesion volume changes has excellent reproducibility and overall good accuracy. The amount of atrophy and especially lesion ...

Semi-automated Volumetric Quantification of Tumor Necrosis in Soft ...

Accuracy of these semi-automated measurements was confirmed, being statistically similar to those obtained at histopathological assessment of the resected tumor ...

Change in lung tumor volume as a biomarker of treatment response

The weight of the evidence indicates there are circumstances in which volumetric image analysis adds value to clinical trial science and the practice of ...

Whole-Volume Automated Segmentation of OCT in Retinal Disease ...

Question Is deep learning–based segmentation of macular disease in optical coherence tomography (OCT) suitable for clinical use? Findings In ...

Semiautomated Volumetric Measurement on Postcontrast MR ...

Automated computer-assisted volumetric analysis of contrast-enhancing tissue represents a potential tool to aid the radiologist in following ...