Artificial intelligence auxiliary system for identifying tumors

• Main Authors: WANG NINGMEI, MU HAIDONG, YANG XIAOWEI
• Format: Patent
• Language: Chinese; English
• Published: 26.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention relates to an artificial intelligence auxiliary system for identifying tumors, which comprises a video acquisition module, a data access module and a data processing module. The data processing module comprises a neural network module, and the neural network module is a Keras-based linear stacking neural network model. According to the artificial intelligence auxiliary system for identifying the tumor, the video acquisition module is adopted to realize image acquisition of a diseased region of a patient, and the data access module is adopted to realize access of image data. And deep learning is carried out on the acquired image data through the neural network module, so that an image with target features can be automatically identified, and an automatic tumor identification function can be realized. 本发明涉及一种用于识别肿瘤的人工智能辅助系统，包括视频采集模块、数据存取模块及数据处理模块，数据处理模块包括神经网络模块，神经网络模块是基于Keras的线性堆叠神经网络模型。本发明的用于识别肿瘤的人工智能辅助系统，采用视频采集模块实现对患者病变部位的图像采集，并通过数据存取模块实现对图像数据的存取。采集到的图像数据再通过神经网络模块进行深度学习，以自动识别出具有目标特征的图像，进而实现对肿瘤的自