Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion

Abstract Background Adenocarcinoma and squamous cell carcinoma are the two most prevalent lung cancer types, and their distinction requires different screenings, such as the visual inspection of histology slides by an expert pathologist, the analysis of gene expression or computer tomography scans,...

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Bibliographic Details
Main Authors: Francisco Carrillo-Perez, Juan Carlos Morales, Daniel Castillo-Secilla, Yésica Molina-Castro, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Gene expression
Late fusion
Whole slide imaging
NSCLC
Online Access:https://doi.org/10.1186/s12859-021-04376-1

Internet

https://doi.org/10.1186/s12859-021-04376-1

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