HIGHLIGHTS
- who: UDC and colleagues from the Department of Mathematics KhojaAkhmetYassawi International Kazakh-Turkish have published the article: INFORMATION TECHNOLOGY, in the Journal: (JOURNAL)
- what: At the same time, the main objectives of the analysis of such images are usually the isolation (segmentation) of acquired morphological formations and their attribution to known classes of pathologies. The work is to give an overview of machine_learning algorithms that are used to identify and predict many diseases, such as naive Bayes, logistic regression, support vector machine, K-nearest neighbors, K-means clustering, decision tree and random forest. The aim . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.