Image Processing and Neural Networks for Early Detection of Histological Changes

A novel methodology for the histological images characterisation taken from the microscopic analysis of cervix biopsies is outlined. First, the fundament of the malignancy process is reviewed in order to understand which parameters are significant. Then, the analysis methodology using equalisation and artificial Neural Networks is depicted and the step by step analysis output images are shown. Finally, the results of the proposed analysis applied to example images are discussed.