𝔖 Scriptorium
✦   LIBER   ✦
📁

Stochastic Modeling for Medical Image Analysis

✍ Scribed by El-Baz, Ayman S.; Gimelʹfarb, Georgiĭ Lʹvovich; Suri, Jasjit S

Publisher
CRC Press Inc
Year
2016
Tongue
English
Leaves
299
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Stochastic Modeling for Medical Image An
📁 Stochastic Modeling for Medical Image Analysis
✍ Ayman El-Baz (Author); Georgy Gimel’farb (Author); Jasjit S. Suri (Author) 📂 Library 📅 2015 🏛 CRC Press

<p>Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis.Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurat

Stochastic Modeling for Medical Image An
📁 Stochastic Modeling for Medical Image Analysis
✍ El-Baz A., Gimel’farb G., Suri J.S. 📂 Library 🌐 English

CRC Press, 2016. — 299.<div class="bb-sep"></div>Today’s medical computer-assisted diagnostics (CAD) rely in a great part on fast and noninvasive anatomical (static) and functional (dynamic) imaging that visualizes inner organs of the human body and helps to monitor their state and condition. Earlie

Stochastic geometry for image analysis
📁 Stochastic geometry for image analysis
✍ Xavier Descombes 📂 Library 🌐 English

"This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for

A Probabilistic Framework for Point-Base
📁 A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis
✍ Heike Hufnagel 📂 Library 📅 2011 🏛 Vieweg+Teubner Verlag 🌐 English

Heike Hufnagel develops a mathematically sound statistical shape model. Due to the particular attributes of the model, the challenging integration of explicit and implicit representations can be performed in an elegant mathematical formulation, thus combining the advantages of both explicit model an

Deep Learning for Medical Image Analysis
📁 Deep Learning for Medical Image Analysis
✍ S. Kevin Zhou, Hayit Greenspan, Dinggang Shen (eds.) 📂 Library 📅 2017 🏛 Academic Press;Elsevier 🌐 English

<p>Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep l

Deep Learning for Medical Image Analysis
📁 Deep Learning for Medical Image Analysis
✍ S. Kevin Zhou, Hayit Greenspan and Dinggang Shen (Eds.) 📂 Library 📅 2017 🏛 Academic Press 🌐 English

</header><div itemprop="description" class="collapsable text"><P>Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learn