Sökning: "White blood cells"

Visar resultat 11 - 15 av 40 uppsatser innehållade orden White blood cells.

1. 11. Pushing the boundaries of acoustic particle separation: achieving high-throughput, avoiding spillover effects, investigating the effects of the particle concentration, and measuring acoustic properties

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Linda Péroux; [2022]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Acoustophoresis, i.e., the contactless manipulation of small cells or particles via acoustic waves is a gentle and label-free method that can, amongst others, be used to isolate rare cells such as circulating tumor cells from blood. To isolate enough cells, a large amount of sample needs to be processed in a reasonable amount of time. LÄS MER

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

   Master-uppsats, Lunds universitet/Matematik LTH

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Justin Ma; Julia Hafsbrandt Fovaeus; [2020]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 14. Image Analysis of Circulating Tumour Cell Clusters from Imaging Flow Cytometry Data

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Filip Berg; [2020]
   Nyckelord :MSc; Image Analysis; Segmentation; Otsu Threshold; Watershed; Circulating Tumour Cells; Imaging Flow Cytometry; Technology and Engineering;

   Sammanfattning : Circulating tumour cells (CTCs) are cancer cells that have entered the circulation of the body breaking free from their primary tumour and that can act as progenitors of metastasis. At the time of writing, a study on a novel method to detect and count CTCs using imaging flow cytometry (IFC) is being conducted at Lund University. LÄS MER

7. 15. Analyzing white blood cells using deep learning techniques

   Master-uppsats, Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

   Författare :Suraj Neelakantan; Sai Sushanth Varma Kalidindi; [2020]
   Nyckelord :White blood cells; Deep learning; Convolutional neural networks; Classification; Medical device technology;

   Sammanfattning : The field of hematology involves the analysis of blood and its components like platelets, red blood cells, white blood cells. The outcome of this analysis can be vital in determining the condition of the human body and it is important to obtain accurate results. LÄS MER