I am building model with medical dataset using deep learning methods.
Medical dataset consists of both numerical data such as age, sex and images of xray scans(1024 x 1024) .
Labels consists of types of cancer .
I believe that ages and sex gonna affect output of network.
But including images will make the network biased towards images, because images will occupy most of the input layer.
how can I design the input layer of network ?
additional information: I am not using CNN but normal deep learning network with two hidden layers