US 2026/0289768 A1 · NEURAL NETWORK BASED AUTOMATIC IMAGE SEGMENTATION SYSTEM AND ITS OPERATION METHOD AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Abstract

The present disclosure provides an operation method of a neural network based automatic image segmentation system, which includes the following steps. A plurality of two-dimensional brain parenchyma images of the brain are extracted from a plurality of T2-weighted images of the brain through a two-dimensional neural network, and the plurality of two-dimensional brain parenchyma images of the brain constitute a three-dimensional brain parenchyma image of the brain; the three-dimensional brain parenchyma image of the brain is pre-processed to obtain a pre-processed three-dimensional brain parenchyma image; and at least one cerebral cavernous malformation image is segmented from the pre-processed three-dimensional brain parenchyma image through a three-dimensional convolutional neural network.

Claims15

Dependent claims

A neural network based automatic image segmentation system, comprising:

a storage device configured to store at least one instruction;
and
a processor coupled to the storage device, and the processor configured to access and execute the at least one instruction for:
extracting a plurality of two-dimensional brain parenchyma images of a brain from a plurality of T2-weighted images of the brain through a two-dimensional neural network, wherein the plurality of the two-dimensional brain parenchyma images of the brain constitute a three-dimensional brain parenchyma image of the brain;
performing a pre-process on the three-dimensional brain parenchyma image of the brain to obtain a pre-processed three-dimensional brain parenchyma image;
and
segmenting at least one cerebral cavernous malformation image from the pre-processed three-dimensional brain parenchyma image through a three-dimensional convolutional neural network.

4 more elements

An operation method of a neural network based automatic image segmentation system, and the operation method, comprising steps of:

(A) extracting a plurality of two-dimensional brain parenchyma images of a brain from a plurality of T2-weighted images of the brain through a two-dimensional neural network, wherein the plurality of the two-dimensional brain parenchyma images of the brain constitute a three-dimensional brain parenchyma image of the brain;
(B) performing a pre-process on the three-dimensional brain parenchyma image of the brain to obtain a pre-processed three-dimensional brain parenchyma image;
and
(C) segmenting at least one cerebral cavernous malformation image from the pre-processed three-dimensional brain parenchyma image through a three-dimensional convolutional neural network.

1 more element

A non-transitory computer readable medium to store a plurality of instructions for commanding a computer to execute an operation method, and the operation method comprising steps of:

(A) extracting a plurality of two-dimensional brain parenchyma images of a brain from a plurality of T2-weighted images of the brain through a two-dimensional neural network, wherein the plurality of the two-dimensional brain parenchyma images of the brain constitute a three-dimensional brain parenchyma image of the brain;
(B) performing a pre-process on the three-dimensional brain parenchyma image of the brain to obtain a pre-processed three-dimensional brain parenchyma image;
and
(C) segmenting at least one cerebral cavernous malformation image from the pre-processed three-dimensional brain parenchyma image through a three-dimensional convolutional neural network.

1 more element

Dependencies are inferred from the claim text.

Neural network based automatic image segmentation system and its operation method and non-transitory computer readable medium

Life of this patent

Neural network based automatic image segmentation system and its operation method and non-transitory computer readable medium

Life of this patent

Abstract

Claims15