scanner console (Philips Healthcare)
90
Structured Review
Philips Healthcare
scanner console
Scanner Console, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/scanner+console/scanner/pm40079445-57-33-33
Average 90 stars, based on 1 article reviews
Scanner Console, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/scanner+console/scanner/pm40079445-57-33-33
Average 90 stars, based on 1 article reviews
scanner console - by Bioz Stars,
2026-09
90/100 stars
Images
Related Articles
other:Article Title: Comparison of ocular morphological measurement by wide-angle echography and magnetic resonance imaging Article Snippet: Ocular measurements were performed using a scanning and Article Title: The contribution of PET/CT to the differentiation of benign and malignant pleural effusion in patients with ovarian carcinoma. Article Snippet: Objective: The present study investigates the ability of non-invasive contribution of positron emission tomography (PET)/computed tomography (CT) to distinguish between benign pleural effusions (BPE) and malignant pleural effusions (MPE) in patients diagnosed with ovarian carcinoma (OC).. Material and methods: Included in the study were 32 OC patients with a PE diagnosis.. The cases with BPE and MPE were compared in terms of the PE maximum standardized uptake value (SUVmax), PE SUVmax/mean standardized uptake (SUVmean) value of the mediastinal blood pool (TBRp), the presence of pleural thickening, the presence of supradiaphragmatic lymph node, unilateral or bilateral PE, pleural effusion diameter, patient age and CA125 value. Article Title: Classification of Multi-Parametric Body MRI Series Using Deep Learning Article Snippet: Multi-parametric magnetic resonance imaging (mpMRI) exams have various series types acquired with different imaging protocols.. The DICOM headers of these series often have incorrect information due to the sheer diversity of protocols and occasional technologist errors.. To address this, we present a deep learning-based classification model to classify 8 different body mpMRI series types so that radiologists read the exams efficiently. Imaging:Article Title: Retrospective motion correction in foetal MRI for clinical applications: existing methods, applications and integration into clinical practice. Article Snippet: .. An alternative future direction would be to use vendor- specific connection interfaces between the Article Title: The impact of the novel CovBat harmonization method on enhancing radiomics feature stability and machine learning model performance: A multi-center, multi-device study. Article Snippet: Purpose: This study aims to assess whether the novel CovBat harmonization method can further reduce radiomics feature variability from different imaging devices in multi-center studies and improve machine learning model performance compared to the ComBat method.. Materials: Non-contrast abdominal CT scans of 1,000 healthy subjects from three medical institutions (from four manufacturers and eight different models) were retrospectively included: Hospital A (n = 513), Hospital B (n = 338), and Hospital C (n = 149).. 93 radiomics features were extracted from liver and spleen tissues using PyRadiomics. Diagnostic Assay:Article Title: Artificial intelligence-based triage of large bowel biopsies can improve workflow. Article Snippet: .. The automated download of a WSI from the Generated:Article Title: Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in vivo study. Article Snippet: .. 2.2 Image analysis 2.2.1 Phantom Both the DW-images obtained at each b-value, and the ADC maps generated from the MRL scanner software (inline ADC) from all acquired DWI sequences were exported from each Software:Article Title: Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in vivo study. Article Snippet: .. 2.2 Image analysis 2.2.1 Phantom Both the DW-images obtained at each b-value, and the ADC maps generated from the MRL scanner software (inline ADC) from all acquired DWI sequences were exported from each |