论文标题
OpenMedia：在异质AI计算平台下的开源医学图像分析工具箱和基准
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms
论文作者
论文摘要
在本文中，我们介绍了OpenMedia，这是一个开源工具箱库，其中包含在异质人工智能（AI）计算平台下用于医学图像分析的丰富深度学习方法。各种医学图像分析方法，包括2D/3D医疗图像分类，分割，定位和检测，已包含在工具箱中，并在异构NVIDIA和HUAWEI ASCEND COMPULING SYSTEMS下使用Pytorch和/或Mindspore实现。据我们所知，OpenMedia是第一个提供比较Pytorch和Mindspore实现的开源算法库，并在几个基准数据集中进行了结果。源代码和模型可在https://git.openi.org.cn/openmedia上找到。
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms. Various medical image analysis methods, including 2D/3D medical image classification, segmentation, localisation, and detection, have been included in the toolbox with PyTorch and/or MindSpore implementations under heterogeneous NVIDIA and Huawei Ascend computing systems. To our best knowledge, OpenMedIA is the first open-source algorithm library providing compared PyTorch and MindSpore implementations and results on several benchmark datasets. The source codes and models are available at https://git.openi.org.cn/OpenMedIA.
