ICTMI 2017  Proceedings of the International Conference on Translational Medicine and Imaging /  [electronic resource] : 
edited by Balázs Gulyás, Parasuraman Padmanabhan, A. Lenin Fred, T. R. Santhosh Kumar, Sundramurthy Kumar. 
 - 1st ed. 2019. 
 - VI, 224 p. 83 illus., 62 illus. in color.  online resource. 
<br/><br/>1.Brain tumor detection and classification of MRI brain images using morphological operations -- 2. Nir Reflectance Imaging of Biological Tissue Using Multiple Sources and Detectors -- 3. Feature Extraction Based Hyperspectral Unmixing -- 4.An Automated Framework for Prediction of Falls in Cardiomyopathy People -- 5.Synthesis, Characterization and MRI Properties of Cysteamine Stabilized Cadmium Zinc Selenide (Cd(Zn)Se) Quantum Dots for Cancer Imaging -- 6. Measures of Diffusion Tensor Tractography of regions associated with Default Mode Network in Alzheimer’s Disease. 
<br/><br/> This book highlights the latest research presented at the International Conference on Translational Medicine and Imaging (ICTMI) 2017. This event brought together the world’s leading scientists, engineers and clinicians from a wide range of disciplines in the field of medical imaging. Bioimaging has continued to evolve across a wide spectrum of applications from diagnostics and personalized therapy to the mechanistic understanding of biological processes, and as a result there is ever-increasing demand for more robust methods and their integration with clinical and molecular data. This book presents a number of these methods. 
<br/><br/><label>ISBN: </label>9789811314773 
<br/><br/><label>Standard No.: </label>10.1007/978-981-13-1477-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biomedical engineering.<br/>Cancer.<br/>Medical physics.<br/>Biomaterials.<br/>Medicine—Research.<br/>Biology—Research.<br/>Signal processing.<br/>Biomedical Engineering and Bioengineering.<br/>Cancer Biology.<br/>Medical Physics.<br/>Biomaterials.<br/>Biomedical Research.<br/>Signal, Speech and Image Processing .
<br/><br/><label>LC Class. No.: </label>R856-857 
<br/><br/><label>Dewey Class. No.: </label>610.28