IML-Malaria
收藏arXiv2021-02-17 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2102.08708v1
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资源简介：
IML-Malaria数据集由巴基斯坦拉合尔的信息技术大学创建，专注于通过薄血涂片图像进行疟疾生命周期分类。该数据集包含345张不同吉姆萨染色的血液样本显微图像，标记了38,449个细胞，涵盖了疟原虫的四个不同生命周期阶段：环状、裂殖体、滋养体和配子体。数据集的创建过程涉及从当地医院收集样本，并由专家进行标注。IML-Malaria数据集的应用领域主要集中在提高疟疾诊断的准确性和效率，特别是在资源匮乏地区，通过机器学习技术辅助医疗专业人员进行快速和准确的疟疾检测。
The IML-Malaria dataset, developed by the University of Information Technology in Lahore, Pakistan, is dedicated to malaria life cycle classification via thin blood smear images. It comprises 345 microscopic images of Giemsa-stained blood samples, with a total of 38,449 annotated cells, covering four distinct lifecycle stages of the malaria parasite (Plasmodium): ring form, schizont, trophozoite, and gametocyte. The dataset was created by collecting samples from local hospitals and having the samples annotated by professional medical experts. The primary applications of the IML-Malaria dataset focus on enhancing the accuracy and efficiency of malaria diagnosis, particularly in resource-limited areas, where machine learning technologies are leveraged to assist medical practitioners in conducting rapid and accurate malaria testing.
提供机构：
信息技术大学, 拉合尔, 巴基斯坦
创建时间：
2021-02-17
