Automated pathology image analysis

The digitalization of pathology slides introduced a new era to pathology. Despite being the most powerful prognostic tool, automated analysis of microscopic images is still not used in routine clinical practices. Manual pathological image analysis methods continue to be used, and they are tedious, time consuming, and subject to a technician's training and skills, e.g., a well-trained expert may take up to 15 min to evaluate and count 100 cells. Since millions of blood tests are performed every year, machine-aided automatic analysis is a powerful diagnostic tool that improves accuracy, saves time, and causes a reduction in manpower as well as human errors. This work provides a comprehensive study of current automated pathology image analysis and techniques along with comparison of various techniques and databases used in literature.