Melanotic

Skin cancers are the most common form of cancer in the world, and the malignant melanoma is the most deadly form of skin cancer. The Cancer Society estimates that, nowadays, around 120,000 new cases of melanoma are diagnosed in the USA in a year. In this context, early detection is critical since the detection of melanoma in its early stages reduces the mortality rates considerably.A good tool in this task is the dermoscopy, a non-invasive technique that, with the help of dermatoscopes, which make possible the visualization of the skin lesion with magnification and permits the detection of features thet are not discernable by examination with the naked eye. Dermoscopy offers the examiners greater accuracy and permits the analysis of the skin lesion using image processing techniquesIn the diagnosis of the melanoma by using the dermoscopy there are many algorithms that are used used in regular medical practice, the main ones being the ABCD rule, the Menzies method, the 7-point checklist and pattern analysis. The final diagnosis ideally requires the combination of different detection methods’ results, being specially reliable those obtained by pattern recognition. There are a number of dermoscopic patterns, some of which are more dangerous than others.The aim of MELANOTIC is to develop complex algorithms using advanced image processing techniques for dermoscopic patterns recognition in the images of skin lesions. Once the research and development of all the algorithms required to detect all existing patterns has been completed, a system integrating all the algorithms will be developed. This system will help dermatologists to deliver a fast and non-invasive diagnosis. Thus, it will help to prevent skin cancer and treat it in its early stages, because patients will be more comfortable when tracking their lesionsCollaborating companies