Kavli Affiliate: Wei Gao
| First 5 Authors: Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu
| Summary:
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.
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