A Novel Texture Extraction-Based Compressive Sensing for Lung Cancer Classification

Background: Lung cancer images require large memory storage and transmission bandwidth for sending the data. Compressive sensing (CS), as a method with a statistical approach in signal sampling, provides different output patterns based on information sources. Thus, it can be considered that CS can b...

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Bibliographic Details
Published in:Journal of Medical Signals and Sensors
Main Authors: Indrarini Dyah Irawati, Sugondo Hadiyoso, Gelar Budiman, Arfianto Fahmi, Rohaya Latip
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-11-01
Subjects:
classification
compressive sensing
extraction
sparse
texture
Online Access:https://journals.lww.com/10.4103/jmss.jmss_127_21

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https://journals.lww.com/10.4103/jmss.jmss_127_21

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