Bücher von Vikas Chaudhary

A Self-organizing map is a non-linear, unsupervised neural network that is used for data clustering and visualization of high-dimensional data. A Self-organizing map uses U-matrix to visualize the high-dimensional data and the distances between neurons on the map. However, the structure of clusters and their shapes are often distorted. For better visualization of high-dimensional data, a new approach high dimensional data visualization Self-organizing map (HVSOM) is explained. The HVSOM preserve the inter-neuron distance and better visualizes the differences between the clusters. In HVSOM, the distances between input data points on the map resemble same those in the original space.

Remarkable advances in medical diagnostic imaging have been made during the past few decades. The development of new imaging techniques and continuous improvements in the display of digital images have opened new horizons in the study of brain anatomy and pathology. The field of brain imaging has now become a fast-moving, demanding and exciting multidisciplinary activity. I hope that this textbook will be useful to students and clinicians in the field of neuroscience, in understanding the fundamentals of advances in brain imaging.

Intracerebral hemorrhage is an important clinical entity encountered in practice. Common causes of intracerebral hemorrhage include hypertension, amyloid angiopathy, trauma, coagulopathy, arteriovenous malformation and underlying tumor. Advances in imaging techniques have helped in better understanding of pathogenesis and the mechanisms of recovery of intracerebral hemorrhage, thereby resulting in marked improvement in its management. I hope that this book on intracerebral hemorrhage will be a useful learning tool for students and clinicians in the field of neuroscience.