Machine Learning for Tomographic Imaging

Machine Learning for Tomographic ImagingWritten by leading researchers in the field, Machine Learning for Tomographic Imaging presents a unified overview of deep learning based tomographic imaging. Key concepts, including classic reconstruction ideas and human vision inspired insights, are introduced as a foundation for a thorough examination of artificial neural networks and deep tomographic reconstruction. An engaging and accessible style makes this book an ideal introduction for those in

Highly significant discoveries often stay unrecognized for decades

empirical endeavour aimed at informing Britain about a region often portrayed as decayed and primitive

Wheat provides 20% of calories and protein consumed by humans

Due to economic and environmental considerations

Japanese Story

or with the role of sports in a more general understanding of culture and society as indicators of modernization and other facets of social change

including twenty-five interviews with oppositionists

South Africa and Rhodesia in the second half of the twentieth century

post-weaning diarrhoea

political and cultural histories together

In Volume 1 of this series

<i>The Path on the Rainbow: An Anthology of Songs and Chants from the Indians of North America</i> functions as an authoritative guide to Indigenous verse as untouched and uninfluenced by European colonialism in the early nineteenth century