The invention provides a system of deep learning neural network in prostate cancer bone metastasis identification based on whole body bone scan images. A pre-processing module receives an input whole body bone scanning image and processes the whole body bone scanning image; a neural network module detects whether the input whole body bone scanning image is the osseous metastasis of the CAC or not. The neural network module comprises a thoracic cavity part network module and a pelvis part network module. The thoracic cavity part network module is used for establishing a first-stage accelerated regional convolutional neural network, and segmenting a training image of a thoracic cavity part according to a whole body bone scanning image; and training a second-stage accelerated regional convolutional neural network by using the training image, and classifying the focus of cancer cell bone metastasis. The pelvic part network module uses a convolutional neural network and comprises the following steps: establishing a first-stage accelerated region convolutional neural network, and segmenting a training image of a pelvic part according to an input whole body bone scanning image; and training a convolutional neural network by using the training image to classify whether the pelvic part is a bone metastasis image.
System of deep learning neural network in prostate cancer bone metastasis identification based on whole body bone scan images