Πλοήγηση ανά Θέμα "image segmentation"
Αποτελέσματα 1-10 από 10
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Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis
(2018)Over the years, MR systems have evolved from imaging modalities to advanced computational systems producing a variety of numerical parameters that can be used for the noninvasive preoperative assessment of breast pathology. ... -
Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme from solitary metastasis
(2018)Ambiguous imaging appearance of Glioblastoma Multiforme (GBM) and solitary Metastasis (MET) is a challenge to conventional Magnetic Resonance Imaging (MRI) based diagnosis, leading to exploitation of advanced MRI techniques, ... -
Imaging biomarker analysis of advanced multiparametric MRI for glioma grading
(2019)Aims and objectives: To investigate the value of advanced multiparametric MR imaging biomarker analysis based on radiomic features and machine learning classification, in the non-invasive evaluation of tumor heterogeneity ... -
The Impact of Primary Progressive Aphasia on Picture Naming and General Language Ability
(2021)Background: Primary progressive aphasia (PPA) is a clinical syndrome that is characterized by progressive deterioration of language while other cognitive domains remain relatively intact. The extent to which print exposure ... -
Inferior Longitudinal Fascicle and Reading: Exploring Their Relationship Through a Brain Stimulation Case Study
(2022)Awake brain surgery allows for maximal tumor resection, while minimizing postoperative deficits, even when the tumor is located within eloquent brain regions. In the current study, we present the case of a patient who ... -
Knee Injury Detection Using Deep Learning on MRI Studies: A Systematic Review
(2022)The improved treatment of knee injuries critically relies on having an accurate and costeffective detection. In recent years, deep-learning-based approaches have monopolized knee injury detection in MRI studies. The aim ... -
Machine Learning in Meningioma MRI: Past to Present. A Narrative Review
(2022)Meningioma is one of the most frequent primary central nervous system tumors. While magnetic resonance imaging (MRI), is the standard radiologic technique for provisional diagnosis and surveillance of meningioma, it ... -
Multi-parametric MRI lesion heterogeneity biomarkers for breast cancer diagnosis
(2020)Purpose: To identify intra-lesion imaging heterogeneity biomarkers in multi-parametric Magnetic Resonance Imaging (mpMRI) for breast lesion diagnosis. Methods: Dynamic Contrast Enhanced (DCE) and Diffusion Weighted Imaging ... -
Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT
(2021)In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and prognostic probability of a disease or clinical outcome for their patients. For patients with suspected or known cardiovascular ... -
Video-Based Eye Blink Identification and Classification
(2022)Blink detection and classification can provide a very useful clinical indicator, because of its relation with many neurological and ophthalmological conditions. In this work, we propose a system that automatically detects ...