Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies Volume 1 /

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI)...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: El-Baz, Ayman S. (Editor, http://id.loc.gov/vocabulary/relators/edt), Acharya U, Rajendra. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mirmehdi, Majid. (Editor, http://id.loc.gov/vocabulary/relators/edt), Suri, Jasjit S. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Subjects:
Online Access:https://doi.org/10.1007/978-1-4419-8195-0
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 04354nam a22005535i 4500
001 978-1-4419-8195-0
003 DE-He213
005 20200706055925.0
007 cr nn 008mamaa
008 110504s2011 xxu| s |||| 0|eng d
020 |a 9781441981950  |9 978-1-4419-8195-0 
024 7 |a 10.1007/978-1-4419-8195-0  |2 doi 
050 4 |a R-RZ 
072 7 |a MBGR  |2 bicssc 
072 7 |a MED000000  |2 bisacsh 
072 7 |a MBGR  |2 thema 
082 0 4 |a 610  |2 23 
245 1 0 |a Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies  |h [electronic resource] :  |b Volume 1 /  |c edited by Ayman S. El-Baz, Rajendra Acharya U, Majid Mirmehdi, Jasjit S. Suri. 
250 |a 1st ed. 2011. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2011. 
300 |a XII, 410 p. 222 illus., 97 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models -- Deformable Model-based Medical Image Segmentation -- Anisotropic Scale Selection, Robust Gaussian Fitting, and Pulmonary Nodule Segmentation in Chest CT Scans -- Computerized Segmentation of Organs by Means of Geodesic Active-Contour Level-Set Algorithm -- Segmentation of Skin Cancer Using External Force Filtering Snake Based on Wavelet Diffusion -- Density and Attachment Agnostic CT pulmonary Nodule Segmentation with Competition-diffusion and New Morphological Operators -- Accurate Modeling of Marginal Signal Distributions In 2d/3d Images -- Automated Ocular Localization in Thermographic Sequences of Contact Lens Wearer -- State-of-the-Art Medical Images Registration Methodologies: A Survey -- Registered 3D Tagged MRI and Ultrasound Myocardial Elastography: Quantitative Strain Comparison -- Unsupervised Change Detection in Multitemporal Images of the Human Retina -- Digital Topology in Brain Image Segmentation and Registration -- Computer-Based Identification of Diabetic Maculopathy Stages Using Fundus Images. 
520 |a With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration. 
650 0 |a Medicine. 
650 0 |a Biomedical engineering. 
650 0 |a Optical data processing. 
650 0 |a Radiology. 
650 1 4 |a Biomedicine, general.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 
650 2 4 |a Biomedical Engineering and Bioengineering.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 
650 2 4 |a Image Processing and Computer Vision.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021 
650 2 4 |a Imaging / Radiology.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/H29005 
700 1 |a El-Baz, Ayman S.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Acharya U, Rajendra.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Mirmehdi, Majid.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Suri, Jasjit S.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781441981943 
776 0 8 |i Printed edition:  |z 9781441981967 
776 0 8 |i Printed edition:  |z 9781489978134 
856 4 0 |u https://doi.org/10.1007/978-1-4419-8195-0 
912 |a ZDB-2-SBL 
912 |a ZDB-2-SXB 
950 |a Biomedical and Life Sciences (SpringerNature-11642) 
950 |a Biomedical and Life Sciences (R0) (SpringerNature-43708)