Classification of chest radiographs using novel anomalous saliency map and deep convolutional neural network

The rapid advancement in pattern recognition via the deep learning method has made it possible to develop an autonomous medical image classification system. This system has proven robust and accurate in classifying most pathological features found in a medical image, such as airspace opacity, mass,...

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Main Authors:	Md. Ali, Mohd. Adli, Abidin, Mohd Radhwan, Nik Muhamad Affendi, Nik Arsyad, Abdullah, Hafidzul, Rosman, Daaniyal Reesha, Badrud'din, Nu'man, Kemi, Faiz, Hayati, Farid
Format:	Article
Language:	en en
Published:	Faculty of Engineering, IIUM 2021
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/90919/7/90919_Classification%20of%20chest%20radiographs%20using%20novel%20anomalous%20saliency%20map.pdf http://irep.iium.edu.my/90919/13/90919_Classification%20of%20chest%20radiographs%20using%20novel%20anomalous%20saliency%20map_Scopus.pdf http://irep.iium.edu.my/90919/ https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1752 https://doi.org/10.31436/iiumej.v22i2.1752
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