CLASSIFICATION OF CHEST RADIOGRAPHS USING NOVEL ANOMALOUS SALIENCY MAP AND DEEP CONVOLUTIONAL NEURAL NETWORK

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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Bibliographic Details
Main Authors: Mohd Adli Md Ali, Mohd Radhwan Abidin, Nik Arsyad Nik Muhamad Affendi, Hafidzul Abdullah, Daaniyal R. Rosman, Nu'man Barud'din, Faiz Kemi, Farid Hayati
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2021-07-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Saliency mapping
Chest Radiograph
Convolutional Neural Network
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1752

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https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1752

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