Lung disease classification using GLCM and deep features from different deep learning architectures with principal component analysis
Lung disease classification is an important stage in implementing a Computer Aided Diagnosis (CADx) system. CADx systems can aid doctors as a second rater to increase diagnostic accuracy for medical applications. It has also potential to reduce waiting time and increasing patient throughput when hos...
Saved in:
Main Authors: | Than, Joel Chia Ming, Mohd. Noor, Norliza, Mohd. Rijal, Omar, M. Kassim, Rosminah, Yunus, Ashari |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTHM
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/86488/1/JoelThan2018_LungDiseaseClassificationusingGLCMandDeep.pdf http://eprints.utm.my/id/eprint/86488/ https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/3476 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lung disease classification using GLCM and deep features from different deep learning architectures with principal component analysis
by: Ming, Joel Than Chia, et al.
Published: (2018) -
Chest x-ray image classification on common thorax diseases using GLCM and AlexNet deep features
by: Tengku Zainul Akmal, Tengku Afiah Mardhiah, et al.
Published: (2019) -
Calcification detection of coronary artery disease in intravascular ultrasound image: Deep feature learning approach
by: Sofian, Hannah, et al.
Published: (2018) -
Mammogram classification using curvelet GLCM texture features and GIST features
by: Gardezi, S.J.S., et al.
Published: (2017) -
Mammogram Classification Using Curvelet GLCM Texture Features and GIST Features
by: I., Faye, et al.
Published: (2017)