MIScnn

由UJBaek著作·2022·被引用5次—TheproposedmethodutilizedMISCNN(MultiInputShapeConvolutionNeuralNetwork)togeneraterobusttrafficclassificationmodelthatcanbeusedinmany ...,Theopen-sourcePythonlibraryMIScnnisanintuitiveAPIallowingfastsetupofmedicalimagesegmentationpipelineswithstate-of-the-artconvolutional ...,2019年7月25日—Theopen-sourcePythonlibraryMIScnnisanintuitiveAPIallowingfastsetupofmedicalim...

參考資訊如下
A Novel Learning Scheme for CNN

由 UJ Baek 著作 · 2022 · 被引用 5 次 — The proposed method utilized MISCNN (Multi Input Shape Convolution Neural Network) to generate robust traffic classification model that can be used in many ...

frankkramer-labMIScnn

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

miscnn

2019年7月25日 — The open-source Python library MIScnn is an intuitive API allowing fast setup of medical image segmentation pipelines with state-of-the-art ...

MIScnn

由 D Müller 著作 · 2019 · 被引用 125 次 — Title:MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning · Submission history · Access ...

MIScnn

由 D Müller 著作 · 2021 · 被引用 125 次 — The open-source Python library MIScnn is a framework to setup medical image segmentation pipelines with convolutional neural networks and deep ...

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 ...