Essays about: "cellavision"

Showing result 6 - 10 of 20 essays containing the word cellavision.

  1. 6. Detecting Nucleated Cells in Bone Marrow Smears using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Robin Bram; Mattias Näsström; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : Being able to detect nucleated cells in human blood is a very important part of health care. CellaVision has machines which can automatically detect cells in blood samples from peripheral blood instead of using manual microscopy. Sometimes it is not enough to only investigate the peripheral blood but also samples from the bone marrow. READ MORE

  3. 7. Blood Cell Data Augmentation using Deep Learning Methods

    University essay from Lunds universitet/Matematik LTH

    Author : Oskar Klang; Martin Carlberg; [2020]
    Keywords : Image analysis; deep learning; data augmentation; generative adversarial networks; GAN; Mathematics and Statistics;

    Abstract : In this thesis we aim to improve classification performance on blood cell imagesby using deep learning techniques to augment data. The thesis was conductedat CellaVision, a company providing digital solutions for medical microscopy inthe field of hematology. READ MORE

  4. 8. JPEG-deblocking of Blood Cell Images using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Justin Ma; Julia Hafsbrandt Fovaeus; [2020]
    Keywords : Image Analysis; Image Reconstruction; Image Restoration; Image Compression; Machine Learning; Deep Learning; JPEG; JPEG-deblocking; CellaVision; Neural Networks; Convolutional Neural Networks; Blood Cells; White Blood Cells; Microscopy; Microscope; Mathematics and Statistics;

    Abstract : This thesis investigates the use of convolutional neural networks as a reconstruction or JPEG- deblocking model for JPEG-compressed blood cell images, needed due to the well known block artifacts caused by JPEG-compression. CellaVision develops automated microscopy for blood analysis that detects and classifies blood cells from images. READ MORE

  5. 9. Simultaneous Classification of Sets of Images Using Deep Learning and Clustering

    University essay from Lunds universitet/Matematik LTH

    Author : Nellie Carleke; Hugo Sellerberg; [2020]
    Keywords : Mathematics and Statistics;

    Abstract : Classification of cell images is conventionally done manually in hematology laboratories by medical technologists. CellaVision aims to automate this work in order to make the analysis process faster, better and more flexible. READ MORE

  6. 10. Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps

    University essay from Lunds universitet/Matematik LTH

    Author : Oscar Odestål; Anna Palmqvist Sjövall; [2020]
    Keywords : Image Analysis; Variational Autoencoder; Self-Organizing Maps; Deep Learning; Machine Learning; Microscopy; CellaVision; Microscope; Neural Networks; Blood Cells; White Blood Cells; Image Classification; Data Visualization; Clustering; Latent Space; Unsupervised Learning; Dimensionality Reduction; SOM; VAE; Mathematics and Statistics;

    Abstract : CellaVision develops automated microscopy for blood analysis. Their products can pre-classify 19 different types of white blood cells and support the medical technologist performing the final classification. CellaVision provides reference cells. READ MORE