NeuroVision-CT: A Five-Class Brain Computed Tomography Dataset for Computer Aided Diagnosis

NeuroVision-CT is a brain Computed Tomography (CT) image dataset developed to support research in artificial intelligence, medical image analysis, deep learning, and computer-aided diagnosis of neurological disorders. The dataset consists of five diagnostic categories: Hydrocephalus, Intracerebral Hemorrhage, Ischemic Stroke, Normal, and Traumatic Skull Fracture. The dataset was collected from Laksam Fair Health Hospital, Laksam, Cumilla, Bangladesh. All CT images were anonymized to protect patient privacy, and no personally identifiable information was retained. Initially, each diagnostic category contained 1,000 images, resulting in a total of 5,000 images. The dataset was divided into training, validation, and test sets using a 70:15:15 ratio. Accordingly, each class contained 700 training images, 150 validation images, and 150 test images. After the dataset split, the 700 training images from each class were augmented to 1,000 images per class. The validation and test sets were kept unchanged, with 150 images per class in each set. Consequently, the final dataset contains 5,000 training images, 750 validation images, and 750 test images, resulting in a total of 6,500 images. All CT images were clinically reviewed and labeled by Dr. Md. Abdul Hannan Mazumder, Emergency Medical Officer (Neurology), Laksam Fair Health Hospital. The images were verified according to their corresponding neurological diagnoses to ensure reliable and consistent class labeling. Dataset Collection Location: Laksam Fair Health Hospital, Laksam, Cumilla, Bangladesh. Submitted Files: NeuroVision-CT Dataset V-1.0 ➜ Training ➜ Validation ➜ Test Metadata: ➜ Metadata_NeuroVision-CT Supporting Documents: ➜ Clinical _Validation_Certificate ➜ Hospital_Permission_Request_Letter ➜ IRB_Approval ➜ IRB_Ethical_Approval_Request_Letter Medical Expert: Dr. Md. Abdul Hannan Mazumder Emergency Medical Officer (Neurology) Laksam Fair Health Hospital Laksam, Cumilla, Bangladesh Email: [e-mail] Contact: [phone]NeuroVision-CT 是一款脑部计算机断层扫描（Computed Tomography, CT）图像数据集，旨在支撑人工智能、医学图像分析、深度学习及神经系统疾病计算机辅助诊断领域的研究。本数据集涵盖5类诊断类别：脑积水（Hydrocephalus）、脑内出血（Intracerebral Hemorrhage）、缺血性脑卒中（Ischemic Stroke）、正常脑部CT及创伤性颅骨骨折（Traumatic Skull Fracture）。 该数据集采集自孟加拉国库米拉县拉克萨姆市的拉克萨姆公平健康医院。所有CT图像均已完成匿名化处理以保护患者隐私，未留存任何个人可识别信息。 初始阶段，每类诊断类别包含1000张图像，总计5000张。数据集按照70:15:15的比例划分为训练集、验证集与测试集，因此每个类别对应700张训练图像、150张验证图像及150张测试图像。 数据集划分完成后，每类别的700张训练图像被增强至1000张。验证集与测试集保持不变，每个类别在两个集合中均保留150张图像。最终本数据集包含5000张训练图像、750张验证图像及750张测试图像，总规模达6500张。 所有CT图像均由孟加拉国拉克萨姆公平健康医院神经内科急诊医师Md. Abdul Hannan Mazumder博士完成临床审核与标注，并依据对应的神经系统诊断结果进行核验，以确保分类标注的可靠性与一致性。 数据集采集地点：孟加拉国库米拉县拉克萨姆市拉克萨姆公平健康医院。 提交文件： NeuroVision-CT 数据集V1.0 ➜ 训练集 ➜ 验证集 ➜ 测试集 元数据： ➜ Metadata_NeuroVision-CT 佐证文件： ➜ Clinical_Validation_Certificate ➜ Hospital_Permission_Request_Letter ➜ IRB_Approval ➜ IRB_Ethical_Approval_Request_Letter 医学专家： Md. Abdul Hannan Mazumder博士 孟加拉国拉克萨姆公平健康医院神经内科急诊医师 拉克萨姆市，库米拉县，孟加拉国 电子邮箱：[e-mail] 联系电话：[phone]