Neural Network Approach for Classification and Detection of Chest Infection
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Advances in computer technology have had a profound impact on our lives and the way we see the world. The healthcare industry is advancing thanks to the use of cutting-edge computer technology, which has transformed how numerous ailments are diagnosed and treated. The number of people suffering from chest-related illnesses is increasing at an alarming pace as a result of a wide range of conditions, including air pollution. Medical applications of image processing have emerged due to data collection tool development. It is now possible to make out the diagnosis through study of the features from medical investigation reports for a group of patients. That reduces the time and cost of the diagnosis, which may help plenty of people who are unable to access regular medical facilities due to intolerable cost. In this paper, automatic chest infection diagnosis is being diagnosed using a Neural Network. Two models are used, namely the Artificial Neural Network and the CNN Neural Network. The models are tested using NIH x-ray chest image data. Results are reported with 96.7% and 99.20% accuracy from the Artificial Neural Network and CNN, respectively. © 2022 IEEE.
Açıklama
IEEE Turkey Section; Istanbul Atlas University
2nd International Conference on Computing and Machine Intelligence, ICMI 2022 -- 15 July 2022 through 16 July 2022 -- Istanbul -- 182557
2nd International Conference on Computing and Machine Intelligence, ICMI 2022 -- 15 July 2022 through 16 July 2022 -- Istanbul -- 182557
Anahtar Kelimeler
ANN, Chest infection, CNN, ResNet, X-ray
Kaynak
2022 2nd International Conference on Computing and Machine Intelligence, ICMI 2022 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
