MIScnn

MIScnnisanintuitiveAPIallowingfastsetupofmedicalimagesegmentationpipelineswithstate-of-the-artconvolutionalneuralnetworkanddeeplearning ...,2019年7月25日—MIScnnisanintuitiveAPIallowingfastsetupofmedicalimagesegmentationpipelineswithstate-of-the-artconvolutionalneuralnetworkanddeeplearning ...,由DMüller著作·2019·被引用143次—TheaimofMIScnnistoprovideanintuitiveAPIallowingfastbuildingofmedicalima...

參考資訊如下
frankkramer-labMIScnn

MIScnn is an intuitive API allowing fast setup of medical image segmentation pipelines with state-of-the-art convolutional neural network and deep learning ...

miscnn

2019年7月25日 — MIScnn is an intuitive API allowing fast setup of medical image segmentation pipelines with state-of-the-art convolutional neural network and deep learning ...

MIScnn

由 D Müller 著作 · 2019 · 被引用 143 次 — The aim of MIScnn is to provide an intuitive API allowing fast building of medical image segmentation pipelines including data I/O, preprocessing, data ...

MIScnn

由 D Müller 著作 · 2021 · 被引用 143 次 — The aim of MIScnn is to provide an intuitive API allowing fast building of medical image segmentation pipelines.

MISCNN: A Novel Learning Scheme for CNN

由 UJ Baek 著作 · 2022 · 被引用 7 次 — The proposed method utilized MISCNN (Multi Input Shape Convolution Neural Network) to generate robust traffic classification model that can be used in many ...

README.md - frankkramer

The open-source Python library MIScnn is an intuitive API allowing fast setup of medical image segmentation pipelines with state-of-the-art convolutional ...