Table 3.
Machine Learning Method | Advantages | Disadvantages |
---|---|---|
Decision Tree | Low complexity | Accuracy depends on the design of the features and tree |
Artificial Neural Network | Robustness and widely applicable | Initial value, Long training time Over-training and Dependent. |
Support Vector Machine | Repeatable training process, good performance | Supervised learning, parameter dependent. |
Random Forest | Resistance to over training, Improve prediction accuracy | Fundamentally discrete, Large number of trees may make the algorithm slow for real-time prediction |
Margin - Margin qualities will be an essential BI-RADS type throughout determining the likelihood of malignancy. This kind of BI-RADS type has several subcategories devoted to different qualities on the cancer mark up, including: “indistinct,' '“angular,' '“microlobulated” and also “spiculated,' 'that are concern features.
Echo pattern - Echo pattern may possibly be determined by checking structure which plays a crucial role from the difference in between lesions on the skin inside and ultrasound imaging.