Search results for "Texture analysis."

showing 2 items of 22 documents

New advances in radiomics of gastrointestinal stromal tumors

2020

Gastrointestinal stromal tumors (GISTs) are uncommon neoplasms of the gastrointestinal tract with peculiar clinical, genetic, and imaging characteristics. Preoperative knowledge of risk stratification and mutational status is crucial to guide the appropriate patients' treatment. Predicting the clinical behavior and biological aggressiveness of GISTs based on conventional computed tomography (CT) and magnetic resonance imaging (MRI) evaluation is challenging, unless the lesions have already metastasized at the time of diagnosis. Radiomics is emerging as a promising tool for the quantification of lesion heterogeneity on radiological images, extracting additional data that cannot be assessed b…

medicine.medical_specialtyStromal cellGastrointestinal Stromal TumorsComputed tomographyTexture analysis.Clinical applications03 medical and health sciences0302 clinical medicineMagnetic resonance imagingRadiomicsmedicineMutational statusHumansComputed tomographyGastrointestinal NeoplasmsRadiomicsmedicine.diagnostic_testbusiness.industryGastroenterologyMagnetic resonance imagingMinireviewsGeneral MedicinePrognosisClinical applicationClinical PracticeTexture analysis030220 oncology & carcinogenesisRisk stratification030211 gastroenterology & hepatologyRadiologyDifferential diagnosisGastrointestinal stromal tumorRadiomicbusinessTomography X-Ray Computed
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Diagnosis and prognosis of cardiovascular diseases by means of texture analysis in magnetic resonance imaging

2017

Cardiovascular diseases constitute the leading global cause of morbidity and mortality. Magnetic resonance imaging (MRI) has become the gold standard technique for the assessment of patients with myocardial infarction. However, limitations still exist thus new alternatives are open to investigation. Texture analysis is a technique that aims to quantify the texture of the images that are not always perceptible by the human eye. It has been successfully applied in medical imaging but applications to cardiac MRI (CMR) are still scarce. Therefore, the purpose of this thesis was to apply texture analysis in conventional CMR images for the assessment of patients with myocardial infarction, as an …

tratamiento digital de imágenesdiagnóstico por imagenmyocardial infarctionmachine learningcardiovascular systemcardiovascular diseasesanálisis de datoscardiac magnetic resonancetexture analysisresonancia magnética
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