Medical image processing device and method using convolutional neural network

• Main Author: LUO YACHUAN
• Format: Patent
• Language: Chinese; English
• Published: 27.03.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention relates to a medical image processing device and method using a convolutional neural network. A data enhancement technology and a migration technology are utilized; supervised learning of a convolutional neural network for deep learning of artificial intelligence is achieved by using one to twenty two-dimensional slices passing through a coronal plane of a hippocampus of image data of nuclear magnetic resonance imaging of a three-dimensional skull of a subject; one or two two-dimensional images passing through the coronal plane of the hippocampus of the three-dimensional skull nuclear magnetic resonance imaging image data of the subject is selected as tested images so as to realize three-class distinguishing and identification of the normal senile group, the forgetting type mild cognitive impairment and the Alzheimer's disease. 本发明涉及一种利用卷积神经网络的医学图像处理装置与方法，利用数据增强技术和迁移技术，利用受试者的三维的头颅的核磁共振成像的图像数据的1张到20张的经过海马体的冠状面的二维切片实现人工智能的深度学习的卷积神经网络的监督学习，选取受试者的三维的头颅的核磁共振成像的图像数据的一张或两张经过海马体的冠状面的二维图像作为被测试的图像，实现对上述的正