This invention concerns an automatic segmentation method of features, such as anatomical and pathological structures or instruments, which are visible in a 3D medical image of a subject, composed of voxels. Said method being characterised in that it consists in providing a global software means or arrangement combining N different convolutional neural networks or CNNs, with N>=2, and having a structured geometry or architecture adapted and comparable to that of the image volume, and in analysing voxels forming said volume of the 3D image according to N different reconstruction axes or planes,each CNN being allocated to the analysis of the voxels belonging to one axis or plane.
AUTOMATIC SEGMENTATION PROCESS OF A 3D MEDICAL IMAGE BY SEVERAL NEURAL NETWORKS THROUGH STRUCTURED CONVOLUTION ACCORDING TO THE GEOMETRY OF THE 3D MEDICAL IMAGE