Supervisor's review for bachelor's thesis a 4th year student of the Department of Informatics of the Mathematics and Mechanics Department Babkina I.A.  Analysis of pre-processing and augmentation of images for anomaly detection in preventive fluorographic  Bachelor's thesis of Babkin I.A. is devoted to the problem of detecting anomalies on chest x-ray images. The task is actual due to the shortage of qualified radiologists for the primary description of the pictures in a massive regular population survey, which is the main method of early detection of tuberculosis, other chronic infectious diseases and oncological diseases of the chest.  The aim of the work was to study image preprocessing methods together with the convolutional auto-encoder to reduce the dimensionality of the feature space when learning on an unchanged X-ray database provided by the St. Petersburg Institute of Pulmonology  The following results are achieved in the work: • The brightness equalization method is implemented; • a method for allocating areas of interest is implemented using the Sobel filter; • Implemented and trained a hierarchical classifier consisting of a convolutional auto-encoder and SVM; • The effect of preprocessing images on the quality of classification is investigated, at a fullness of 0.99 the accuracy is more than 0.75, preprocessing slightly worsens the quality of classification;  Preprocessing of images allows to reduce the dimension of the input space of the classifier, shorten the training time and make its work more predictable. The results are of great practical importance for the choice of the network architecture in solving the problem of finding anomalies.  The work has also disadvantages: • Only image preprocessing algorithms have been studied; • The influence of each of the preprocessing algorithms has not been studied separately; • the reasons for the slight deterioration in the quality of the classification have not been studied; • the text of the thesis note has some stylistic shortcomings.  Despite the shortcomings, given the valuable practical results of the work, I believe that the bachelor's thesis of Babkin I.A. deserves an evaluation - "EXCELLENT".  PhD. senior lecturer of Department of Informatics Faculty of Mathematics and Mechanics of St. Petersburg State University Salischev S.I. 05/15/2018