Essays about: "master thesis image"

Showing result 1 - 5 of 298 essays containing the words master thesis image.

  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

  2. 2. Learning Embeddings for Fashion Images

    University essay from Linköpings universitet/Datorseende

    Author : Simon Hermansson; [2023]
    Keywords : Computer Vision; Machine Learning; Image Retrieval; CLIP; Masked Autoencoders MAE ; Vision Transformers; Image Captioning; Price Prediction; AI for Fashion;

    Abstract : Today the process of sorting second-hand clothes and textiles is mostly manual. In this master’s thesis, methods for automating this process as well as improving the manual sorting process have been investigated. READ MORE

  3. 3. Implementing CSR in Fashion Companies: Increasing Green Trust During the Transformation Process Towards Sustainable Development : An Exploratory Analysis on the Influencing Factors of Green Trust in the Fashion Sector

    University essay from Malmö universitet/Institutionen för Urbana Studier (US)

    Author : Janika Förnges; Britta Sieling; [2023]
    Keywords : transformation process towards sustainable development; sustainable development in the fashion industry; green trust on the consumer side; strategic CSR; organizational change;

    Abstract : Purpose – The purpose of this paper is to gain insights into consumer behavior to provide managerial implications on what fashion companies need to do to increase green trust during the transformation process towards sustainable development in order to increase green purchase intention. Two sub-research questions are raised to answer the main research question all- encompassing in the end. READ MORE

  4. 4. The Impact of Corporate Social Responsibility DiversityEquity and Inclusion efforts on Brand Image

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Omar Khalafallah; Semhar Weldesylasie; [2023]
    Keywords : CSR; corporate social responsibility; diversity; equity and inclusion; trust; commitment; brand image;

    Abstract : Abstract Date:                         2023-05-30 Level:                        Master Thesis in Business Administration, 15 HP Institution:                School of Business, Society and Engineering, Mälardalen University  Authors:                    Omar Khalafallah, Semhar Weldesylasie  Title:                          The Impact of Corporate Social Responsibility Diversity Equity and Inclusion efforts on Brand Image. Supervisor:                Rana Mostaghel Keywords:                  CSR, corporate social responsibility, diversity, equity and inclusion, trust, commitment, brand image. READ MORE

  5. 5. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

    University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Author : David Rydgård; [2023]
    Keywords : Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

    Abstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE