Overview of the ZINB-GRAN: Starting with the count matrix from scRNA-seq data as input, ZINB-GRAN first constructs a WGCN from gene expression data. Based on this WGCN, it builds an initial regulatory ...
Abstract: Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the ...
Abstract: Benefiting from exploiting the data topological structure, graph convolutional network (GCN) has made considerable improvements in processing clustering tasks. The performance of GCN ...
Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...
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What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...
This project uses the TFRecord format to consume data in the training and evaluation process. Creating a TFRecord from raw image files is pretty straight forward and will be covered here.
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