Essays about: "CellaVision"
Showing result 11 - 15 of 20 essays containing the word CellaVision.
-
11. Deblurring of Cell Images Using Generative Adversarial Networks
University essay from Lunds universitet/Matematik LTHAbstract : The digital microscopes that CellaVision produces today use a mechanical auto focus when capturing cell images. This requires the camera objective to be vertically positioned with a precision of 0.4 µm in order for the objects in the images to be considered properly focused. READ MORE
-
12. Feasibility Study for Autovalidation of Blood Cells in a Digital Morphology System
University essay from Lunds universitet/Matematik LTHAbstract : This thesis was carried out at CellaVision, a company within digital blood analysis, with the aim of investigating the possibility of autovalidation of blood cells using neural networks. The thesis started with preparing a dataset for training and validation, including cell features and binary labels indicating if the cell is easy or difficult to classify. READ MORE
-
13. Segmentation of White Blood Cells Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : The white blood cell count and differential is an important part of diagnosing a number of medical conditions. Instead of doing this by manual microscopy, CellaVision’s technology has automated the process of finding and classifying white blood cells. To support a diagnosis it is desired that the system can produce cytoplasm-to-nucleus-ratio. READ MORE
-
14. Cell Image Transformation Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis was written at CellaVision who sells digital microscope systems, mainly used for blood analysis. Blood tests are an important part of modern health care and today digital microscopes are widely used to replace conventional microscopy. READ MORE
-
15. An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
University essay from Lunds universitet/Matematik LTHAbstract : This project has investigated the performances of Capsule Networks in comparison to Convolutional Neural Networks (CNNs) on white blood cell image classification at CellaVision. The Capsule Network models that were investigated are EM Routing Capsule Networks (EMCNs) and Dynamic Routing Capsule Networks (DCNs). READ MORE