This paper reviews image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Malaria is a Continue reading
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Tag: Biomedical
Primary Hepatocytes Cultured on a Fiber-Embedded PDMS Chip to Study Drug Metabolism
ABSTRACT
In vitro drug screening using reliable and predictable liver models remains a challenge. The identification of an ideal biological substrate is essential to maintain hepatocyte functions during in vitro culture. Here, we developed a fiber-embedded Continue reading
Red Blood Cells Classification using Image Processing
This paper investigates automated diagnosis of red blood cell’s and describes a method to classify the different shapes of red blood cells using the image processing techniques. The shape of red blood cells can be Continue reading
Automating Model Building in Ligand-based Predictive Drug Discovery Using the Spark Framework
Automation of model building enables new predictive models to be generated in a faster, easier and more straightforward way once new data is available to predict on. Automation can also reduce the demand for tedious bookkeeping that Continue reading
Plaque Identification using Automated Image Enhancement
Image enhancement is a task of applying certain transformations to an original image for obtaining output image visually more pleasant, more detailed, or less noisy. The transformation usually requires Continue reading
Developing a Computer-based Information System to Improve the Diagnosis of Blood Anemia
Design and implementation of a computer- based information system by utilizing a developed methodology is presented in this thesis. This methodology includes a set of Continue reading
A Session-Based System for Aligning Large Ontologies
Ontologies are a key technology for the Semantic Web. In different areas, a large number of ontologies have been developed so far by different people or organizations under the Continue reading
Improving Clustering of Gene Expression Patterns
The central question investigated in this project was whether clustering of gene expression patterns could be done more biologically accurate by providing the clustering technique with Continue reading