libri scuola books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

el-baz ayman s. (curatore); acharya u rajendra (curatore); mirmehdi majid (curatore); suri jasjit s. (curatore) - multi modality state-of-the-art medical image segmentation and registration methodologies

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

; ; ;




Disponibilità: Normalmente disponibile in 15 giorni
A causa di problematiche nell'approvvigionamento legate alla Brexit sono possibili ritardi nelle consegne.


PREZZO
222,98 €
NICEPRICE
211,83 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 08/2016
Edizione: Softcover reprint of the original 1st ed. 2011





Trama

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.




Sommario

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.




Autore

Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL). Dr. El-Baz is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. Dr. El-Baz has extensive experience in automated detection, segmentation, and diagnosis of lung nodules in LDCT images. Dr. El-Baz received his Doctorate from University of Kentucky, Louisville, KY. Rajendra Acharya U, PhD, DEng is leader in the field of data mining and medical devices. He received two doctorates: one from National Institute of Technology Karnataka, Surathkal, India and second from Chiba University, Japan. He is a Senior IEEE member and on the editorial board of several journals. His major interests are in Signal and Image Processing, Visualization and Biophysics for better healthcare design, delivery and therapy. Currently, he is visiting faculty at Ngee Ann Polytechnic, Singapore. Majid Mirmehdi is a Professor of Computer Vision in the Computer Science Department at the University of Bristol. Prof. Mirmehdi has been involved in computer vision research for 22 years, particularly in the areas of medical imaging, quality inspection, and scene understanding. He has served as Chairman of the British Machine Vision Association, is a Senior Member of the IEEE, and was elected a Fellow of the International Association for Pattern Recognition in 2010. Dr. Jasjit S. Suri is an innovator, scientist, a visionary, an industrialist and an internationally known world leader in Biomedical Engineering. Dr. Suri has spent over 20 years in the field of biomedical engineering/devices and its management. He received his Doctrate from University of Washington, Seattle and Business Management Sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with President’s Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering for his outstanding contributions.










Altre Informazioni

ISBN:

9781489978134

Condizione: Nuovo
Dimensioni: 235 x 155 mm Ø 869 gr
Formato: Brossura
Illustration Notes:XII, 410 p.
Pagine Arabe: 410
Pagine Romane: xii


Dicono di noi