Pattern recognition in medical images using neural networks
Keywords:Neural Networks, Adaptive Pattern Recognition, Medical Diagnosis
The proposal of this research line is the search for alternatives to the resolution of complex problems where human knowledge should be apprehended in a general fashion. In particular, the activities developed so far can be included in the area of Medical Diagnosis, even though similar applications in other fields are not discarded. In general, one of the greatest problems of medical diagnosis is the subjectivity of the specialist. The experience of the professional greatly affects the final diagnosis. This is due to the fact that the result does not depend on a systematized solution, but on the interpretation of the patient´s answer. The solution to this kind of problems can be found in the area of Adaptive Pattern Recognition, where the solution rests on the easiness with which the systems adapts to the information available, in this case coming from the patient. In this sense, neural networks are extremely useful, since they are not only capable of learning with the aid of an expert, but they can also make generalizations based on the information from the input data, thus showing relations that are a priori of a complex nature.
 Neural Network Segmentation of Magnetic Resonance Spin Echo Images of theBrain. Cagnoni, Coppini, Rucci, Caramella,Valli. Jounal of Biomedical Engineering, V 15, pp.355-362. 1993
 Digital Image Processing. Gonzalez y Woods. Addison-Wesley. 1992
 Neurocomputing. Robert Hecht-Nielsen. Addison-Wesley. 1990
 Fundamentals of Digital Image Processing. Anil Jain. Prentice Hall.1989
 Caracterización de los Elementos de una Muestra Histológica utilizando Khoros. Lanzarini, Castañeda, Badrán, De Giusti. II International Congress on Information Engineering. Buenos Aires. 1995.
 Real Time Analysis of the Nystagmus and Movement Patterns in Balance Disturbances. Lanzarini, Vargas, Estelrrich, De Giusti. 19th International Conference Information Technology Interfaces. Croatia. 1997
 Reconocimiento y Clasificación de los elementos de una muestra de sangre
utilizando Redes Neuronales. Lanzarini, Vargas, Badrán, De Giusti. 6º Congreso Internacional de Nuevas Tecnologías y Aplicaciones Informáticas. Cuba.1998
 Fuzzy Neural Network for Classification and Detection of Anomalies. Meneganti, Saviello y Tagliaferri. IEEE Transactions on Neural Networks, Vol.9, nº 5 Septiembre 1998
 Neural Networks for Pattern Recognition. Albert Nigrin. MIT Press 1993
 Optimun Segmentation of Medical Images with Hopfield Neural Networks. Poliy Valli. CSRP-95-12. School of Computer Science. The University of Birmingham.
 A method for fuzzy rules extraction directly from numerical data and its application to pattern recognition. Shiego Abe and Ming-Shong Lan. IEEE Trans.on Fuzzy Systems, Vol.3,nº 1, Febrero 1995.
 Fuzzy min-max neural networks - Part1 : Clasification. P.Simpson. IEEE Trans.Neural Networks, Vol3, pp 776-786,1992
 Fuzzy min-max neural networks – Part2 : Clasification. P.Simpson. IEEE Trans.Neural Networks, Vol1, pp 32-45,1993
 A new neural network for cluster-detection-and-labeling. Torbjorn Eltoft. IEEE Transactions on Neural Networks, Vol. 9, nr. 5, pp 1021-1035. 1998
 Neural Networks and Prior Knowledge Help the Segmentation of Medical Images. Valli, Poli, Cagnoni and Coppini. Journal of Computing and Information Technology, Vol.6 Nº 2. 1998