Table 18.

Deep Learning Based Breast and Lung Cancer Detection Study

Application Areas	Method Description	Performance Enhancement	Findings
Breast Cancer Diagnosis	Integration of breast cancer gene expression data with breast MRI imaging features	AUC increased from 0.85 to 0.92 in unimodal mode	A two-branch multi-input network designed by Li et a[179]
Lung Cancer Detection	Combining CT Imaging and Gene Mutation Data for Cancer Staging Prediction	Superior to traditional methods	Zhang et al. Multi-input neural network applications[180]