Essays about: "evaluation of image segmentation"
Showing result 11 - 15 of 77 essays containing the words evaluation of image segmentation.
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11. Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals
University essay fromAbstract : Purpose: The aim of this study was to introduce a volumetric convolutional neural network for segmentation of the kidneys in SPECT images and to apply it in the dosimetry of radiopharmaceuticals of this organ, in order to decrease segmentation time and to standardize the segmentation of the kidneys. Method: Three networks were trained using two network architectures and a total of 216 retrospectively collected images from patients that underwent imaging procedures at Sahlgrenska University Hospital between 2009 and 2018. READ MORE
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12. Development and evaluation of an inter-subject image registration method for body composition analysis for three slice CT images
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Over 30 000 liver, abdomen, and thigh slices have been acquired by computed tomography for the SCAPIS and IGT study. To utilise the full potential of the large cohort and enable statistical pixel-wise body composition analysis and visualisation of associations with other biomarkers, a point-to-point correspondence between the scans is needed. READ MORE
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13. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. READ MORE
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14. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE
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15. Machine learning framework for maxillofacial preoperative planning
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Artificial intelligence in biomedical image processing is approaching human performance at object localization while saving immense amounts of time for the physicians. These AI algorithms have the potential to automatically segment anatomical structures for preoperative planning. However, there are currently no tools such tools on the market. READ MORE