The invention belongs to the technical field of deep learning and radiotherapy, and relates to a method for segmenting a human organ in a medical image based on a neural network. The method comprisesthe following steps: coarsely positioning a medical image layer where a target organ to be sketched is located, the target organ to be sketched comprising a plurality of organs; determining a startinglayer and an ending layer of a target organ to be delineated as a whole by using a 3D binary U-shaped network; and inputting the middle layers of the starting layer and the ending layer into a 2D multi-classification U-shaped network, performing fine sketching segmentation, and determining the starting layer and the ending layer corresponding to each organ to be sketched. According to the invention, a 3D network is used to determine a starting layer and an ending layer when multiple organs are used as a whole; a 2D network is used for solving the problem of data imbalance between organs in the middle of a starting layer and an ending layer; and the problem of segmentation of multiple organs with similar HU values in the prior art is solved by combining the advantages of an existing 3D network and the 2D network.
Method for segmenting human organ in medical image based on neural network