From the reviews:“The book is a collection of fifteen articles covering a broad range of topics related to visualization in medicine and life sciences. … The book in itself gives good references about state-of-the-art issues or software or methodologies, even though they are mostly European-centered. … It is worth reading this kind of review for researchers interested in broadening their understanding of the upcoming needs of visualization for life science or for graduate students to understand the new challenges at the crossroads of computer and life sciences.” (Nicolas Loménie, IAPR Newsletter, Vol. 35 (2), April, 2013)

• Part I Feature Extraction.- Part II Classification.- Part III Volumes and Shapes.- Part IV Tensor Visualization.- Part V Visualizing Genes, Proteins, and Molecules.

From the reviews:“The book is a collection of fifteen articles covering a broad range of topics related to visualization in medicine and life sciences. … The book in itself gives good references about state-of-the-art issues or software or methodologies, even though they are mostly European-centered. … It is worth reading this kind of review for researchers interested in broadening their understanding of the upcoming needs of visualization for life science or for graduate students to understand the new challenges at the crossroads of computer and life sciences.” (Nicolas Loménie, IAPR Newsletter, Vol. 35 (2), April, 2013)

• Part I Feature Extraction.- Part II Classification.- Part III Volumes and Shapes.- Part IV Tensor Visualization.- Part V Visualizing Genes, Proteins, and Molecules.

From the reviews:“The book is a collection of fifteen articles covering a broad range of topics related to visualization in medicine and life sciences. … The book in itself gives good references about state-of-the-art issues or software or methodologies, even though they are mostly European-centered. … It is worth reading this kind of review for researchers interested in broadening their understanding of the upcoming needs of visualization for life science or for graduate students to understand the new challenges at the crossroads of computer and life sciences.” (Nicolas Loménie, IAPR Newsletter, Vol. 35 (2), April, 2013)

• Part I Feature Extraction.- Part II Classification.- Part III Volumes and Shapes.- Part IV Tensor Visualization.- Part V Visualizing Genes, Proteins, and Molecules.