Classification of thorax diseases using deep learning

Sofi N. Aulia, Mohammad Haekal, Endarko Endarko*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Deep Learning for analyzing medical images in thoracic diseases is considered necessary in radiology. The thorax examination is the most frequently performed examination in routine examinations. Analytical methods that can explain medical image analysis finding morphological patterns or textures in images are urgently needed. Currently, the interpretation of the thorax is carried out manually by radiologists based on thorax images that are influenced by the cognitive abilities and subjective experience of radiologists, thus allowing human error to occur in reading or analyzing. This study aimed to classify chest diseases such as Edema, Pneumonia, and Pneumothorax using a Convolutional NeurXR) image data used to determine chest disease are normal, edema, pneumonia, and pneumothorax data of 1487, 1022, 1374, and 1128 with an image size of 200×200 pixels. This study also analyzed optimizers RMSprop, Adadelta, Adagrad, Adamax, and Adam in the classification of thorax disease for the CNN algorithm. The results showed that Adam is the best optimizing parameter and can show good accuracy of more than 98% for the classification of thorax diseases such as Edema, Pneumonia, and Pneumothorax with epochs equal to 10.

Original languageEnglish
Title of host publication2nd International Symposium on Physics and Applications 2021
EditorsRetno Asih, Nasori, Saifuddin, Muhammad Haekal
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444676
DOIs
Publication statusPublished - 9 May 2023
Event2nd International Symposium on Physics and Applications 2021, ISPA 2021 - Surabaya, Indonesia
Duration: 13 Nov 202114 Nov 2021

Publication series

NameAIP Conference Proceedings
Volume2604
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd International Symposium on Physics and Applications 2021, ISPA 2021
Country/TerritoryIndonesia
CitySurabaya
Period13/11/2114/11/21

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