【摘要】 随着人们生活方式的转变以及老龄化社会的来临，癌症的发病率与死亡率呈现出不断增长的态势。在此情形下，早期发现肿瘤并及时施行治疗举措对于提高患者的生存质量极为关键。人工智能技术在这一过程中发挥着举足轻重的作用。一方面，在诸如计算机断层扫描（CT）、磁共振成像（MRI）以及X射线等医学影像资料里，AI能够有效地识别和定位肿瘤，并对其恶性程度予以评估；另一方面，通过对大量数据的分析，AI还能够自动提取出包括人眼难以察觉的众多特征信息，单次处理就能获取多达29568项特征指标。此外，运用机器学习算法或者融合多种成像技术（多模态）的方式，能够进一步对这些特征展开深度解析，进而达成对图像内肿瘤或异常区域的有效识别与分类。更多还原

【Abstract】 With the change of people ’ s lifestyles and the advent of an aging society,the incidence and mortality rates of cancer are increasing.Under such circumstances,early detection of tumors and timely treatment initiatives are crucial to improve the quality of patients ’ survival.Artificial intelligence technology plays a pivotal role in this process.On the one hand,AI can effectively identify and locate tumors in medical images such as computed tomography(CT) scans,magnetic resonance imaging(MRI) and X-rays,and assess their malignancy;on the other hand,through the analysis of a large amount of data,AI is also able to automatically extract a large number of features that are difficult to detect by the human eye,and as many as 29,568 feature indicators can be obtained with a single process.Indicators.In addition,by using machine learning algorithms or integrating multiple imaging techniques(multimodality),these features can be further analyzed in depth to effectively identify and classify tumors or abnormal areas in the image.更多还原