Essays about: "U-Net"
Showing result 16 - 20 of 102 essays containing the word U-Net.
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16. Comprehensive Study of Brain Age Prediction using Classical Machine Learning and Neural Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The biological age of the human brain is an important biomarker in inspecting and maintaining the health of an individual. The brain age provides insights into an individual’s brain health due to genetics, environment, and lifestyle. READ MORE
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17. Evaluation of Tree Planting using Computer Vision models YOLO and U-Net
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Efficient and environmentally responsible tree planting is crucial to sustainable land management. Tree planting processes involve significant machinery and labor, impacting efficiency and ecosystem health. In response, Södra Skogsägarna introduced the BraSatt initiative to develop an autonomous planting vehicle called E-Beaver. READ MORE
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18. Generating Synthetic CT Images Using Diffusion Models
University essay from Umeå universitet/Institutionen för fysikAbstract : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). READ MORE
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19. Deep Learning for Building Damage Assessment of the 2023 Turkey Earthquakes : A comparison of two remote sensing methods
University essay from KTH/GeoinformatikAbstract : Current disaster response strategies are based on damage assessments carried out on the ground, which can be dangerous following a ä destructive event. Damage assessments can also be performed remotely using satellite imagery, but are usually carried out through visual interpretation, which can take a lot of time. READ MORE
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20. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images
University essay from KTH/Medicinteknik och hälsosystemAbstract : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. READ MORE