The invention discloses an eye
fundus image optic cup and
optic disk segmentation method under a unified framework, and the method comprises the steps: obtaining an eye
fundus image before segmentation, and carrying out the image preprocessing operation, such as
cutting and rotating; generating a corresponding
mask image according to an optic cup and
optic disk area marked on the fundus color photo by an ophthalmologist; constructing a deep network for segmenting an optic cup and an
optic disk; iteratively training the deep segmentation network by using the
mask image and the
fundus image, and optimizing network parameters; and segmenting the optic cup and the
optic disc, and obtaining the segmentation results of the optic cup and the
optic disc by using the trained segmentation
network model. The invention provides a deep neural network for optic cup and
optic disc segmentation. The deep neural network comprises a multi-scale feature extractor, a multi-scale feature transition and an attention
pyramid structure. According to the method, the optic cup and the optic disc can be effectively segmented, the segmentation precision is high, and meanwhile, a new thought is provided for segmentation of fundus images and segmentation of other medical images.