STIFMap_dataset

The dataset used to train and validate neural networks for STIFMap generation. Accompanies the manuscript: ""STIFMap employs a convolutional neural network to reveal spatial mechanical heterogeneity and tension-dependent activation of an epithelial to mesenchymal transition within human breast cancers" Also see https://github.com/cstashko/STIFMaps for model training code and trained models本数据集用于训练和验证生成STIFMap（STIFMap）所需的神经网络。 本数据集随附的研究论文题为：《STIFMap采用卷积神经网络（Convolutional Neural Network）揭示人类乳腺癌内的空间力学异质性与张力依赖性上皮间质转化（Epithelial-Mesenchymal Transition）的激活过程》。 如需获取模型训练代码与已训练模型，请访问：https://github.com/cstashko/STIFMaps