Patent ID: 11922629
Assignee: NOVA SCOTIA HEALTH AUTHORITY
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC G

Claim 12:
13. A method of employing an anisotropic encoder-decoder convolutional neural network to generate cancer prediction maps based on processing of a multiparametric magnetic resonance image set associated with a subject, the anisotropic encoder-decoder convolutional neural network being configured such that an output thereof is a pixelated prediction image map, with each pixel of the pixelated prediction image map configured to provide a binary determination of a presence or absence of cancer;
the method comprising employing test-time-augmentation to process the multiparametric magnetic resonance image set via the anisotropic encoder-decoder convolutional neural network;
wherein test-time-augmentation is performed, when processing a given slice of the multiparametric magnetic resonance image set, according to the steps of:
applying a plurality of transformations to the multiparametric magnetic resonance images corresponding to the given slice, thereby obtaining a plurality of transformed multiparametric magnetic resonance images;
employing the anisotropic encoder-decoder convolutional neural network to generate, for each transformed multiparametric magnetic resonance image, an intermediate cancer prediction map;
rectifying each intermediate cancer prediction map by applying a respective inverse transformation, thereby obtaining a plurality of rectified intermediate cancer prediction maps; and
combining the plurality of rectified intermediate cancer prediction maps to generate a composite cancer prediction map.