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Showing result 1 - 5 of 50 essays matching the above criteria.

  1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  3. 2. Do Football Players Give Female Coaches the Red Card?

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Erica Froste Myrin; Sigrid Holmgren; [2023]
    Keywords : gender bias; sport; leadership; football; evaluation;

    Abstract : In Swedish elite football, the skewed gender distribution between coaches is conspicuous, and this thesis aims to investigate one channel as to why there are so few female coaches in this environment. Previous research has found that students evaluate female teachers more critically than male teachers, even in components that they cannot control; might this be the case in Swedish elite football as well? We have conducted a framed field experiment on the teams in the highest football division for players 19 years or under in Sweden. READ MORE

  4. 3. Causal Discovery for Time Series : Based on Continuous Optimization

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Ali Nouri; [2023]
    Keywords : ;

    Abstract : Causal discovery is an important field of study that seeks to understand the underlying relationships between variables in a system. The goal of causal discovery is to discover the causal relationships from observational data and determine the direction of influence between variables. READ MORE

  5. 4. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David E.G. Nordmark; [2023]
    Keywords : Megaproject; Small sample size; Project management; Random forest; Critical success factors; Feature selection; Recursive feature elimination; Megaprojekt; Små dataurval; Projektledning; Random forest; Kritiska framgångsfaktorer; Variabel urval; Rekursiv variabel eliminering;

    Abstract : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. READ MORE

  6. 5. Evaluating targeted combination therapies in EGFR wild-type non-small-cell lung cancer using mass spectrometry-based proteomics

    University essay from Lunds universitet/Institutionen för immunteknologi

    Author : Johan Thorsson; [2023]
    Keywords : Biology and Life Sciences;

    Abstract : Survival for non-small cell lung cancer (NSCLC) patients has been significantly improved by epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in patients with EGFR mutations. However, certain subpopulations of NSCLC patients with EGFR wild-type (wt) status have been shown to also respond to EGFR-TKIs. READ MORE