General Electric Company

Gergely Nyiri

Márta Fidrich

Andras Kriston

Ferenc Kovacs

Amanda Jean Fox

Pál Csongor Sprencz

Devyani Bedekar

Norbert Bara

Laszló Ruskó

András Kriston

Tamás Blaskovics

Ferenc Kovács

A method for automatic segmentation of a medical image is provided. The method comprises registering a reference image associated with an object to the medical image, determining a transformation function on the basis of the registration, applying the transformation function to a probability map associated with the object; carrying out a probability thresholding on the transformed probability map by selecting a first area of the medical image in which the probability of the object is within a probability range, carrying out an intensity thresholding on the medical image by selecting a second area of the medical image in which the intensity is within an intensity range, selecting a common part of the first and second areas and carrying out on the common part a morphological opening resulting in separate sub-areas, selecting the largest sub-area as a seed, and segmenting the medical image on the basis of the seed.

Method, system and computer readable medium for automatic segmentation of a medical image

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Szeged, Hungary

Gergely Nyiri