Sökning: "White blood cells"
Visar resultat 6 - 10 av 40 uppsatser innehållade orden White blood cells.
6. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Blood tests are an important part of modern medicine, and are essentially always stained using chemical colorization methods before analysis by computational or manual methods. The staining process allows different parts of blood cells to be discerned that would be unnoticeable in unstained blood. LÄS MER
7. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. LÄS MER
8. Pre-classification of Hairy Cells Using Supervised Contrastive Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Differential of the peripheral blood is an important tool when assessing blood-related diseases. Lymphocytes are part of the immune system and morphological changes thereof should raise attention. LÄS MER
9. Hållbarhet på kapillära blodprover för analys av hemoglobin, leukocyter och trombocyter
Kandidat-uppsats, Linnéuniversitetet/Institutionen för kemi och biomedicin (KOB)Sammanfattning : Inom klinisk verksamhet är det av stor betydelse att känna till hållbarheten på olika analyter för att säkerställa att analysen inte genomförs på för gamla prover. Vid litteratursökning framgick att bland de publicerade studier som undersökt hållbarheten på blodprover har de flesta undersökt hållbarheten på venösa men inte kapillära blodprover. LÄS MER
10. Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Collecting enough labeled images to train an artificial neural network (ANN) is a common struggle since the process is tedious, time consuming and expensive. CellaVision, a company that creates analyzers that automate the process of finding and pre-classifying abnormal blood cells using machine learning, runs into this problem regularly. LÄS MER