Analysis of Smart Lung Tumour Detector and Stage Classifier Using Deep Learning Techniques with Internet of Things

Table 1

Existing methodology with comparison of the performance metrics.

Paper details	Techniques used in the existing methodology	Datasets available	Accuracy rate of the existing work
Tafadzwa et al. (2021)	Supervised CNN predictor	LUAD	AUC = 71%
Pragya et al. (2021)	SVM, KNN, and CNN	LIDC-IDRI, LUNA 16	Accuracy = 91%
Kalaivani et al. (2021)	Deep CNN model	LIDC-IDRI	Accuracy = 90.85%
Khalifa et al.	BPSO-DT	LUNA	Acc = 88.25%
Abdulgani et al.	TEP classification model	LUAD	Accuracy = 92.65