Tissue Phenomics: Profiling Cancer Patients for Treatment Decisions / editors, Ralf Huss, Günter Schmidt.
"In the age of digitization our society is transformed into a new state. In particular, machine intelligence dramatically elevates our capability to create and digest information. Naturally, healthcare is also impacted by this trend and will even be more transformed into a informatic driven dis...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Pan Stanford Publishing,
2018.
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| Edition: | First edition. |
| Subjects: |
Table of Contents:
- Chapter 1 Introduction to Tissue Phenomics / Ralf Huss Gerd Binnig Günter Schmidt Martin Baatz Johannes Zimmermann
- chapter 2 Image Analysis for Tissue Phenomics / Johannes Zimmermann Keith E. Steele Brian Laffin René Korn Jan Lesniak Tobias Wiestler Martin Baatz
- chapter 3 Context-Driven Image Analysis: Cognition Network Language / Gerd Binnig
- chapter 4 Machine Learning: A Data-Driven Approach to Image Analysis / Nicolas Brieu Maximilian Baust Nathalie Harder Katharina Nekolla Armin Meier GünterSchmidt
- chapter 5 Image-Based Data Mining / Ralf Schönmeyer Arno Schäpe Günter Schmidt
- chapter 6 Bioinformatics / Sriram Sridhar Brandon W. Higgs Sonja Althammer
- chapter 7 Applications of tissue phenomics / Johannes Zimmermann Nathalie Harder Brian Laffin
- chapter 8 Tissue Phenomics For Diagnostic Pathology / Maria Athelogou Ralf Huss
- chapter 9 Digital Pathology: Path into the Future / Peter D. Caie David J. Harrison
- chapter 10 Tissue Phenomics in Clinical Development and Clinical Decision Support / Florian Leiß Thomas Heydler.