Determination of Geometrical Parameters in Blood Serum Films Using an Image Segmentation Algorithm
Maksim Baranov, Elena N. Velichko, Faridoddin Shariaty · Optical Memory and Neural Networks · 2020
Abstract Observation of films of biological liquids allows finding markers of diseases such as diabetes or pneumonia. This may allow switching to more cost-effective diagnostic methods based on the use of relatively cheap commodity hardware required for optical microscopy. For this propose cuneiform dehydration of biological fluids is a promising method of medical diagnosis based on the study of structures in blood serum films. Currently, these structures are investigated at a qualitative level. It is known, that the geometric parameters of structures in blood serum films may be caused by some pathologies. In this paper the problems of image segmentation considered to create an image processing algorithm. Additionally, the images processing algorithm of blood serum films is described and experimental results are presented.