增加了RSNA肺栓塞CT数据集,并加上边界框注释和肺栓塞的解剖定位

Matias F Callejas1, Hui Ming Lin1, Thomas Howard1

  • 1From the Department of Medical Imaging, Unity Health Toronto, University of Toronto, 30 Bond St, Toronto, ON, Canada M5B 1W8 (M.F.C., H.M.L., T.H., M.A., M.N., L.J.J., R.M., S.M., D.P.D., E.C.); Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, Canada (M.F.C., T.H., M.A., M.N., L.J.J., R.M., S.M., D.P.D., E.C.); and Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Canada (L.J.J., S.M., D.P.D., E.C.).

概括

本研究探讨使用计算机断层扫描 (CT) 检测肺动脉栓塞和血栓形成. 特性检测方法可以提高这些关键条件的识别.