Automated diagnostic systems play very important role in the medical field. In the process of surgery these automated diagnostics systems helps surgeon to identify the infected parts or tumors in case of cancerous growth of cells and removal of these cells may increase the probability of survival of a patient. This book deals with an approach that is based on image processing concepts. Various chapters of the book elaborate on the Image Preprocessing steps, Feature Extraction process and Classification process etc. This book is appropriate for undergraduate and post graduate students and also researchers who are working towards Automated Diagnostic Systems for cancerous cell detection.