Affiliation : Master student at “The Faculty of Computer Science"University of Belgrade
Country : Serbia
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 7, 8, June, 2017
Abstract
This
paper presents the analysis of techniques for microscopic images in order to
find a primary tumor based on the of bone metastases. Was done algorithmic
classification into three groups, kidney, lung and breast. In order to speed up
the treatment of the patient and easier for doctors and therefore reduce room
for human error. Digital microscope images of bone metastases were analyzed,
for which it is known that the primary tumor is in one of the three human
organs: kidney, lung or breast. We tested several solutions for classification,
were tested two methods of image analysis. Multifractal analysis and
convolutional neural network. Both methods were tested with and without
preprocessing image. Results of multifractal analysis were then classified
using different algorithms. Images were processed using CLAHE and kmeans
algorithm. At the end, the results obtained using a variety of techniques are
presented.
Keyword : Cancer classification, Microscopic images, Image preprocessing, Multifractal analysis, Classification algorithms
For More Details : https://airccj.org/CSCP/vol7/csit77004.pdf
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