Sökning: "transform image thesis"

Visar resultat 1 - 5 av 93 uppsatser innehållade orden transform image thesis.

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

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sally Vizins; Hanna Råhnängen; [2024]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 2. Automated annotation scheme for extending bounding box representation to detect ship locations.

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Oksana Havryliuk; [2023]
    Nyckelord :;

    Sammanfattning : Bounding boxes often provide limited information about the shape and location of an object on an image. Their limitations lie in their reduced ability to correctly represent objects that have complex shapes or are located at an angle. LÄS MER

  4. 3. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Christoffer Gärdin; [2023]
    Nyckelord :Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

    Sammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER

  5. 4. Diffusion-based Vocoding for Real-Time Text-To-Speech

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Lukas Gardberg; [2023]
    Nyckelord :Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

    Sammanfattning : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. LÄS MER

  7. 5. Quantification of DNA Microballs Using Image Processing Techniques

    Master-uppsats, KTH/Industriell bioteknologi

    Författare :Yosef Werede Tedros; [2023]
    Nyckelord :Spot detection; Deep learning; Image processing; smFISH; Gene editing; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot; Detektering av punkter; Djupinlärning; Bildbehandling; smFISH; Genredigering; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot;

    Sammanfattning : I detta examensarbete användes olika bildbehandlingstekniker för detektion och kvantifiering av DNA-mikrobollar, mer specifikt rolling circle amplification-produkter, på mikroskopibilder. Avsikten med detta arbete var att hjälpa Countagen AB utforska pipelines för bildbehandling för sin produkt där de analyserar utfallet av genredigeringsförsök på ett billigare och snabbare sätt än dagens konventionella sekvenseringsmetoder. LÄS MER