Digitized Thin Blood Films for Sickle Cell Disease Detection

If you plan on using this dataset, please cite : P. Manescu, C. Bendkowski, R. Claveau, M. Elmi, B.J. Brown, V. Pawar, M. Shaw and D. Fernandez-Reyes, <b>A weakly supervised deep learning approach for detecting malaria and sickle cells in blood films </b>, MICCAI (2020). <br><b> Image acquistion</b>Images were captured with custom built brightfield microscope fitted with a 100X/1.4NA objective lens, a motorized x-y sample positioning stage and a color camera.z-stacks were projected onto a single (xy) plane using a wavelet-based Extended Depth of Field (EDoF) algorithm.<br><b>Clinical diagnosis</b>Hemoglobin electrophoresis was used to obtain the haemoglobin phenotype and test patients for Sickle Cell Disease (SCD). sickle_slides_new_march.txt contains the corresponding labels. <br><br><b>Ethical Statement. <br></b>The internationally recognized ethics committee at the Institute for Advanced Medical Research and Training (IAMRAT) of the College of Medicine, University of Ibadan (COMUI) approved this research with permit numbers: UI/EC/10/0130, UI/EC/19/0110. Parents and/or guardians of study participants gave informed written consent in accordance with the World Medical Association ethical principles for research involving human subjects.<br><br><br>

若您计划使用本数据集，请引用：P. Manescu、C. Bendkowski、R. Claveau、M. Elmi、B.J. Brown、V. Pawar、M. Shaw及D. Fernandez-Reyes，<b>一种弱监督深度学习方法用于检测血片中的疟疾和镰状细胞</b>，MICCAI（2020）。<br><b>图像采集</b>图像由定制构建的明场显微镜捕获，该显微镜配备100X/1.4NA物镜、电动x-y样本定位台和彩色相机。z-stack图像（z-stacks）通过基于小波的扩展景深（Extended Depth of Field，EDoF）算法投影到单个（xy）平面上。<br><b>临床诊断</b>采用血红蛋白电泳获取血红蛋白表型，并检测患者是否患有镰状细胞病（Sickle Cell Disease，SCD）。sickle_slides_new_march.txt文件包含相应标签。<br><br><b>伦理声明</b><br>伊巴丹大学医学院（COMUI）高级医学研究与培训研究所（IAMRAT）的国际认可伦理委员会批准了本研究，许可编号为：UI/EC/10/0130、UI/EC/19/0110。研究参与者的父母和/或监护人根据世界医学协会涉及人类受试者研究的伦理原则，提供了知情书面同意。