Essays about: "supervised learning algorithms"

Showing result 1 - 5 of 182 essays containing the words supervised learning algorithms.

  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. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

    University essay from KTH/Kemi

    Author : Julia Rune; [2023]
    Keywords : Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

    Abstract : 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

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

    University essay from Linköpings universitet/Datorseende

    Author : Christoffer Gärdin; [2023]
    Keywords : Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

    Abstract : 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. READ MORE

  4. 4. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Oskar Ahlqvist; [2023]
    Keywords : Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

    Abstract : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. READ MORE

  5. 5. Anomaly detection in surveillance camera data

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Viktoriia Semerenska; [2023]
    Keywords : Anomaly detection; Machine Learning; Supervised learning; Video Analytics; Artificial Intelligence;

    Abstract : The importance of detecting anomalies in surveillance camera data cannot be overemphasized. With the increasing availability of surveillance cameras in public and private locations, the need for reliable and effective methods to detect anomalous behavior has become critical to public safety. READ MORE