Essays about: "spatial error"
Showing result 1 - 5 of 125 essays containing the words spatial error.
-
1. The effect of autocorrelation when performing theapproximated permutation test
University essay from Uppsala universitet/Statistiska institutionenAbstract : In meteorology, permutation tests are a commonly recommended tool because standard paramet-ric methods of inference often is insufficient when analysing weather. Therefore other methodswith less stringent assumptions like permutation testing is used. READ MORE
-
2. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer
University essay from Lunds universitet/Matematisk statistikAbstract : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). READ MORE
-
3. Digital Front End Algorithms for Sub-Band Full Duplex
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE
-
4. 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
-
5. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms
University essay from KTH/KemiAbstract : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). READ MORE