RESUMEN
As the increasing of digital imagilag modalities,a close-at-hand challenge to deal with is the storage and transmission requirement of enormous data of medical images.Compression is one of the indispensable techniques to solve this problem.A comprehensive review and discussions are made in this paper over the medial image compression techniques applied in medical image domain,including the latest achievements in this field.Different compression algorithm including ROI-based coding,lossless compression,DWT,neural net are introduced and some quality evaluation methods are introduced.Foreground of the field is given from our point of view.
RESUMEN
In the last twenty years an important effort in brain sciences, especially in cognitive science, has been the development of mathematical tool that can deal with the complexity of extensive recordings corresponding to the neuronal activity obtained from hundreds of neurons. We discuss here along with some historical issues, advantages and limitations of Artificial Neural Networks (ANN) that can help to understand how simple brain circuits work and whether ANN can be helpful to understand brain neural complexity.