Essays about: "index patient"
Showing result 1 - 5 of 58 essays containing the words index patient.
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1. Evaluating aperture shape controller (ASC) in modulated radiation treatments
University essay fromAbstract : To decrease aperture complexity, the aperture shape controller (ASC) is a recently introduced function in Eclipse external beam planning (Varian Medical Systems, Palo Alto, USA). ASC works within the photon optimizer, minimizing distances between adjacent leaf tips of the MLC. READ MORE
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2. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
University essay from KTH/Matematisk statistikAbstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE
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3. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE
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4. Comparison of direct Fick's principle and thermodilution for calculating cardiac output in patients with pulmonary arterial hypertension.Does the assessment of cardiac index and pulmonary vascular resistance differ depending on which method is chosen?
University essay from Örebro universitet/Institutionen för hälsovetenskaperAbstract : Pulmonary arterial hypertension (PAH) is an uncommon but serious disease that causes increased pressure in the pulmonary vessels and increased pulmonary vascular resistance (PVR), which in turn leads to right heart failure. At diagnosis, mean pulmonary artery pressure (mPAP) must be >20 mmHg, pulmonary artery wedge pressure (PAWP) ≤15 mmHg and PVR >2 Wood units (WU). READ MORE
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5. Development of a Machine Learning Survival Analysis Pipeline with Explainable AI for Analyzing the Complexity of ED Crowding : Using Real World Data collected from a Swedish Emergency Department
University essay from KTH/Medicinteknik och hälsosystemAbstract : One of the biggest challenges in healthcare is Emergency Department (ED)crowding which creates high constraints on the whole healthcare system aswell as the resources within and can be the cause of many adverse events.Is is a well known problem were a lot of research has been done and a lotof solutions has been proposed, yet the problem still stands unsolved. READ MORE