Table 1.

An overview of the literature review, including past methodologies and limitations.

Authors	Task	Models	Limitations
Tang et al. [6]	Classification	Backpropagation Network, Naïve Bayes Classifier and Linear Discriminant Analysis	i. Lack of image enhancement techniques. ii. Artefact removal is not conducted iii. Absence of data-augmentation technique
Vijayarajeswari et al. [7]	Classification	SMV	i. Absence of data-augmentation technique ii. Experimentation with various models is missing
Meselhy Eltoukhy et al. [8]	Classification	SMV	i. Lack of image-enhancement techniques. ii. Artefact removal is not conducted iii. Absence of data-augmentation technique iv. Experimentation with various ML models is absent
Singh et al. [9]	Classification	Random forest	i. Lack of automatic ROI segmentation process ii. Absence of data-augmentation techniques
Al-Hadidi et al. [10]	Segmentation Classification	Logistic Regression and Backpropagation Neural Network	i. Lack of automatic ROI segmentation process ii. Absence of data-augmentation techniques iii. Experimentation with various ML models is absent