FIELD: medicine.
SUBSTANCE: group of inventions refers to the field of medicine, namely the diagnosis of diseases. Using the computer, it is possible to determine from the sequence of pixels in the image of the outer craniofacial soft tissue the probability, that the subject is exposed to genetic disorders. With the help of the processing scheme, descriptors are calculated, obtained from the features in each of a plurality of cells in a grid, superimposed on each image of a plurality of craniofacial images from a first set of first individuals, susceptible to genetic disorders, having a first genetic disorder, and from a second set of second individuals, susceptible to genetic disorders having a second genetic disorder, and at least one individual not affected by genetic disorders, that does not have one of the first and second genetic disorders. Plurality of vectors are created by the processing circuit by collecting descriptors from a plurality of cells on a plurality of craniofacial images of individuals, susceptible to and unaffected by genetic disorders. Descriptors obtained from the features in each of the plurality of cells in the grid superimposed on the image of the subject are calculated using the image of the subject using the processing scheme. One or more vectors are created by the processing circuit by collecting descriptors from a plurality of cells on the craniofacial image of the subject. Craniofacial comparison of the indicated set of image vectors of individuals, exposed and not influenced by genetic disorders, with said one or more vectors of said subject image by calculating a distance between each of said plurality of vectors and each of said one or more vectors. Determined by a processing circuit based on a comparison of a subset of vectors from the set of vectors more similar to the one or more vectors indicated, than the rest of the set of vectors; and evaluate the probability that the subject has a first or second genetic disorder.
EFFECT: group of inventions allows to identify a patient's disease effectively and non-invasively by using computerized image analysis.
24 cl, 30 dwg
Authors
Dates
2018-03-28—Published
2014-03-12—Filed