1. A process for diagnosing cancer in a cervix, comprising: obtaining a gray balanced and color calibrated reference single image of said cervix having known pixel sizes using a digital camera; spatially registering onto said single image of said cervix multiple calibrated data sets, each of said data sets being a different type of calibrated data which can be utilized for the detection of cervical cancer; applying at least two selected diagnostic algorithms to at least one of said multiple data sets to extract colposcopic features from said data sets to obtain classifications of said extracted features; combining classifications of said extracted features; assessing examination adequacy of said combined classifications; and if said examination adequacy is sufficient, determining tissue diagnosis; whereby reliability of said tissue diagnosis is increased.