In the past 15 years the number of malignant melanomas and non-melanoma skin cancer, (i.e. squamous cell carcinoma, basal cell carcinoma), have increased dramatically throughout the whole world, in particular among people with white skin. For example, in Germany the number of new cases of melanoma is about 10 to 12 per 100,000 people, (for basal cell carcinoma as a non-melanoma skin cancer 140 per 100,000), the absolute number of annual new cases of melanoma is an estimated 9,000 to 10,000, and the increasing rate is 5 to 10%. However, there are more than 40 differential diagnoses for skin cancer which makes it difficult even for expert dermatologists to give correct diagnosis, (estimated 75% correct diagnoses). This figure is even worse for doctors from other specialities. There is only a chance of high cure rates when skin tumours are detected at an early stage. The prognosis of skin cancer is dependent very much on the thickness, (as a sign of invasiveness), of the tumour and the number of mitotic figures in the tumour, (as a sign of proliferation activity). However, the final diagnosis of skin cancer is usually done by biopsy, the sample being investigated by a specialist. This is an invasive method, which is painful for the patient and might require several cuts and samples taken before being absolutely certain. Due to the potential risk of dissemination of tumour cells, taking an incisional biopsy is obsolete in malignant melanoma. Therefore the correct diagnosis of malignant melanoma can be made only after a total removal of the lesion and consecutive histopathological examination. The EDISCIM project intends to develop a system for the early diagnosis of skin cancer which uses confocal imaging for the non-invasive diagnosis of the upper layers of the skin that aids the physician in the analysis of the images and therefore with the diagnosis, allows for potential remote diagnosis by specialist dermatologists via tele-diagnosis if need be. The objectives of the system are Captures microscopic images of the skin by confocal imaging, Processes and records these images in real time, Compares these images against a knowledge base of known skin symptoms, Displays the results in a suitable interface to the physician performing the diagnosis, And supports the online telematic support by specialists.