tkshirakawa Goto Github PK
Name: Takashi Shirakawa
Type: User
Bio: Cardiovascular surgeon; Master of mechanical engineering; Programmer of macOS and OsiriX
Location: Japan
Name: Takashi Shirakawa
Type: User
Bio: Cardiovascular surgeon; Master of mechanical engineering; Programmer of macOS and OsiriX
Location: Japan
Python code to train neural network models with your original dataset for semantic segmentation. This codeset also includes a converter to create macOS Core ML models from trained Keras models for A.I.Segmentation.
The public source code of A.I.Segmentation (AIS) version 1.4.1. AIS is a plugin of OsiriX for macOS enables semantic segmentation of medical images using artificial intelligence (Core ML framework) in macOS.
Python code to benchmark TensorFlow for macOS
Source code for the blog post "Custom Layers in Core ML"
A neural network for image segmentation of cardiovascular anatomies. MOVED to AIS Training Codeset, Jan 3, 2020.
Keras implementation of Deeplab v3+ with pretrained weights
Pruning and other network surgery for trained Keras models.
Sample code of OpenCV library in macOS GUI apps with ‘opencv2.framework’ of version 4.3.0 for an Xcode project.
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