Based on pytorch and deep integration of Microsoft azure, Microsoft released the innereeye deep learning toolkit in the form of open source software. Microsoft’s project innerreye has been involved in the construction and deployment of machine learning models for many years. It has cooperated with doctors, clinicians and oncologists to assist them in the tasks of radiotherapy, surgical planning and quantitative radiology. This reduces the burden on those involved in the field. < p > < p > according to Microsoft, the goal of project innerreye is to “democratize artificial intelligence for medical image analysis”, allowing researchers and medical practitioners to build their own medical imaging models, while the tools released today aim to simplify the training and deployment of models. < / P > < p > specifically, the innereeye deep learning toolkit will allow users to build their own models of image classification, segmentation or sequence. They will be able to choose to build their own neural networks or import them from other places. One of the visions behind this project is to provide users with an abstraction layer so that they can deploy machine learning models without worrying about details. The project innerreye team of Microsoft research hopes that the toolkit can integrate machine learning technology into the treatment path, thus forming a long-term practical solution. Epic Games accused Google of monopolizing the latter, which may have a better chance than apple