A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images
Abstract Whole slide images (WSIs) are digitized histopathology images. WSIs are stored in a pyramidal data structure that contains the…
Deep learning
CancerNet: a unified deep learning network for pan-cancer diagnostics
Abstract Background: Despite remarkable advances in cancer research, cancer remains one of the leading causes of death worldwide. Early detection…
Simulating the restoration of normal gene expression from different thyroid cancer stages using deep learning
Abstract Background: Thyroid cancer (THCA) is the most common endocrine malignancy and incidence is increasing. There is an urgent need…
Deep Learning-Based Pan-Cancer Classification Model Reveals Tissue-of-Origin Specific Gene Expression Signatures
Abstract Simple Summary: Gene expression data from different cancer types offer the opportunity to identify cancer tissue-of-origin specific biomarkers and…
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Abstract In the last four years, advances in Deep Learning technology have enabled the inference of selected mutational alterations directly…
Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model
Abstract Many significant efforts have so far been made to classify malignant tumors by using various machine learning methods. Most…
CBD: A Deep-Learning-Based Scheme for Encrypted Traffic Classification with a General Pre-Training Method
Abstract With the rapid increase in encrypted traffic in the network environment and the increasing proportion of encrypted traffic, the…
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
Abstract Tumor purity is the percentage of cancer cells within a tissue section. Pathologists estimate tumor purity to select samples…
Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers
Abstract Background: Long non-coding RNA plays a vital role in changing the expression profiles of various target genes that lead…
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data
Abstract Background: With the rapid advancement of genomic sequencing techniques, massive production of gene expression data is becoming possible, which…