Automated Diagnosis of COVID-19 using Deep Supervised Autoencoder with Multi-view Features from CT Images.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3102584
Abstract: Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great importance and urgency. However, radiologists have to distinguish COVID-19 pneumonia from other pneumonia in a large number of CT… read more here.
Keywords: diagnosis; supervised autoencoder; covid using; deep supervised ... See more keywords
scSSA: A clustering method for single cell RNA-seq data based on semi-supervised autoencoder.
Sign Up to like & getrecommendations! Published in 2022 at "Methods"
DOI: 10.2139/ssrn.3995232
Abstract: BACKGROUND Single cell sequencing is a technology for high-throughput sequencing analysis of genome, transcriptome and epigenome at the single cell level. It can improve the shortcomings of traditional methods, reveal the gene structure and gene… read more here.
Keywords: seq data; cell; semi supervised; supervised autoencoder ... See more keywords