In the recent years we have assisted to a progressively growing number of applicative areas of Pattern Recognition, mainly devoted to the exploitation of cutting edge scientific methodologies for the solution of problems of relevant interest to civil society. This trend is generating new communities, as aggregation of scientist having as common aim the development of systems more or less prompt to be transformed into real working prototypes.
In the field of medical image analysis this trend has been even more evident than in others, as the availability of assisted diagnosis tools would allow the medical community to increase their productivity jointly with an improvement of the quality and precision of the diagnostic act.
Among all, rather novel interests are concentrating on the indirect immunofluorescence images (IIF), i.e. images obtained by making biological tissue interacting with special sources of light, so as to generate fluorescent image responses; these revealed especially suited for searching antibodies in the patient serum, so revealing the presence of autoimmune diseases. Due to its effectiveness, diagnostic tests for systemic autoimmune diseases are now becoming more and more interesting to both academic and industrial communities.
The workshop is intended as a forum for presenting and discussing computational applications in IIF, providing a mechanism for the exchange of ideas and technologies between academics and industrial scientists, and attracts a worldwide audience. Indeed the workshop is directed to practitioners, researchers and developers belonging to the communities of computer vision, machine learning, pattern recognition and data mining.
The I3A Workshop will host the Contest on Performance Evaluation on Indirect Immunofluorescence Image Analysis Systems.