Essays about: "Patient Volume Prediction"
Showing result 1 - 5 of 7 essays containing the words Patient Volume Prediction.
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1. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE
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2. Exploring Deep Learning Frameworks for Multiclass Segmentation of 4D Cardiac Computed Tomography
University essay from Linköpings universitet/Institutionen för hälsa, medicin och vårdAbstract : By combining computed tomography data with computational fluid dynamics, the cardiac hemodynamics of a patient can be assessed for diagnosis and treatment of cardiac disease. The advantage of computed tomography over other medical imaging modalities is its capability of producing detailed high resolution images containing geometric measurements relevant to the simulation of cardiac blood flow. READ MORE
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3. Deep-learning based prediction model for dose distributions in lung cancer patients
University essay from Stockholms universitet/FysikumAbstract : Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. READ MORE
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4. Deep Learning Based Multi-Label Classification of Radiotherapy Target Volumes for Prostate Cancer
University essay from KTH/Medicinteknik och hälsosystemAbstract : An initiative to standardize the nomenclature in Sweden started in 2016 along with the creation of the local database Medical Information Quality Archive (MIQA) and a national radiotherapy register on Information Network for CAncercare (INCA). A problem of identifying the clinical tumor volume (CTV) structures and prescribed dose arose when the consecutive number, which is added to the CTV-name, was made inconsistently in MIQA and INCA. READ MORE
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5. Individualized mathematical modeling of neural activation in electric field
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Deep Brain Stimulation (DBS) is a treatment of movement disorders such as Parkinson's disease and essential tremor. Today it has been used in more than 80.000 patients. Electrical stimulation is administered by an implanted pulse generator through an electrode surgically placed in a target brain area specific to the treated disease. READ MORE