How to cite (IEEE): D. Kikoo, B. Tamin, S. Hardjadilaga, -. Anderies, & I. Iswanto "Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review," JOIV : International Journal on Informatics Visualization, vol. 7, no. 2, , pp. 310-318, May. 2023. https://doi.org/10.30630/joiv.7.2.1015

How to cite (APA): Kikoo, D., Tamin, B., Hardjadilaga, S., Anderies, -., & Iswanto, I. (2023). Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review. JOIV : International Journal on Informatics Visualization, 7(2), 310-318. https://doi.org/10.30630/joiv.7.2.1015

How to cite (Chicago): Kikoo, Darnell, Tamin, Bryan, Hardjadilaga, Stephen, Anderies, -, AND Iswanto, Irene. "Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review" JOIV : International Journal on Informatics Visualization [Online], Volume 7 Number 2 (8 May 2023) https://doi.org/10.30630/joiv.7.2.1015

How to cite (Vancouver): Kikoo D, Tamin B, Hardjadilaga S, Anderies -, & Iswanto I . Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review. JOIV : International Journal on Informatics Visualization [Online]. 2023 May; 7(2):310-318. https://doi.org/10.30630/joiv.7.2.1015

How to cite (Harvard): Kikoo, D., Tamin, B., Hardjadilaga, S., Anderies, -., & Iswanto, I. ,2023. Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review. JOIV : International Journal on Informatics Visualization, [Online] 7(2), pp. 310-318. https://doi.org/10.30630/joiv.7.2.1015

How to cite (MLA8): Kikoo, Darnell, Bryan Tamin, Stephen Hardjadilaga, - Anderies, & Irene Anindaputri Iswanto. "Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review." JOIV : International Journal on Informatics Visualization [Online], 7.2 (2023): 310-318. Web. 5 Dec. 2023 , https://doi.org/10.30630/joiv.7.2.1015

BibTex Citation Data :

@article{JOIV1015,
    	author = {Darnell Kikoo and Bryan Tamin and Stephen Hardjadilaga and - Anderies and Irene Iswanto},
    	title = {Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review},
    	journal = {JOIV : International Journal on Informatics Visualization},
    	volume = {7},
    	number = {2},
    	year = {2023},
    	keywords = {Pneumonia; lung diseases; X-rays; CXR; radiography; deep learning; convolutional neural network; CNN; classification},
    	abstract = {Pneumonia is one of the world's top causes of mortality, especially for children. Chest X-rays serve an important part in diagnosing pneumonia due to the cost-effectiveness and quick advancement of the technology. Detecting Pneumonia through Chest X-rays (CXR) is a challenging and time-consuming process requiring trained professionals. This issue has been solved by the development of automation technology which is machine learning. Moreover, Deep Learning (DL), a machine learning specification that uses an algorithm that resembles the human brain, can predict more accurately and is now dependable enough to predict pneumonia. As time passes, another Deep Learning improvement has been made to produce a new method called Transfer Learning, that is done by extracting specific layers from some pre-trained network to be used on other datasets, which reduces the training time and improves the model performance. Although numerous algorithms are already available for pneumonia identification, a comprehensive literature evaluation and clinical recommendations are still small in numbers. This research will assist practitioners in choosing some of the best procedures from the recent research, reviewing the available datasets, and comprehending the outcomes gained in this domain. The reviewed papers show that the best score for predicting pneumonia using DL from CXR was 99.4% accuracy. The exceptional techniques and results from the reviewed papers served as great references for future research.},
        	issn = {2549-9904},    	pages = {310--318},    	doi = {10.30630/joiv.7.2.1015},
        	url = {https://joiv.org/index.php/joiv/article/view/1015}
    }
    

Refworks Citation Data :

@article{{JOIV}{1015}, author = {Kikoo, D., Tamin, B., Hardjadilaga, S., Anderies, -., Iswanto, I.}, title = {Using Various Convolutional Neural Network to Detect Pneumonia from Chest X-Ray Images: A Systematic Literature Review}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {2}, year = {2023}, doi = {10.30630/joiv.7.2.1015}, url = {} }