颅内CT影像数据

颅内CT影像数据覆盖大脑、脑室、脑干、小脑及颅骨等关键结构。基于DICOM标准与标注信息，支持AI模型开发，实现脑肿瘤、脑出血、脑梗死等病灶的自动识别与分级，推动智能医疗发展，助力中枢神经系统疾病的早期筛查与精准诊疗。

This intracranial CT imaging dataset covers key anatomical structures including the cerebrum, cerebral ventricles, brainstem, cerebellum and skull. Based on DICOM standards and with annotated information, it supports the development of AI models to enable automatic identification and grading of lesions such as brain tumors, intracerebral hemorrhage and cerebral infarction, thereby advancing the development of intelligent healthcare and facilitating early screening and precise diagnosis and treatment of central nervous system (CNS) diseases.