دانلود کتاب خارجی - دانلود رایگان کتاب لاتین PDF علمی

تعداد نتایج: 74

Biomedical Signals and Systems

By Joseph Tranquillo
Publisher: Springer Nature, 2022-06-01
Pages: 211
Language: en
ISBN_13:9783031016592
ISBN_10:3031016599
Subject: Technology & Engineering

Emerging Trends in Immunomodulatory Nanomaterials Toward Cancer Therapy

جزئیات و درخواست

By Anubhab Mukherjee, Vijay Sagar Madamsetty
Publisher: Springer Nature, 2022-05-31
Pages: 84
Language: en
ISBN_13:9783031016691
ISBN_10:3031016696
Subject: Technology & Engineering

Mechanical Testing for the Biomechanics Engineer

A Practical Guide

$Mechanical testing is a useful tool in the field of biomechanics. Classic biomechanics employs mechanical testing for a variety of purposes. For instance, testing may be used to determine the mechanical properties of bone under a variety of loading modes and various conditions including age and disease state. In addition, testing may be used to assess fracture fixation procedures to justify clinical approaches. Mechanical testing may also be used to test implants and biomaterials to determine mechanical strength and appropriateness for clinical purposes. While the information from a mechanical test will vary, there are basics that need to be understood to properly conduct mechanical testing. This book will attempt to provide the reader not only with the basic theory of conducting mechanical testing, but will also focus on providing practical insights and examples.$

جزئیات و درخواست

By Marnie M. Saunders
Publisher: Springer Nature, 2022-06-01
Pages: 256
Language: en
ISBN_13:9783031016622
ISBN_10:3031016629
Subject: Technology & Engineering

Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer

جزئیات و درخواست

By Arianna Mencattini, Paola Casti
Publisher: Springer Nature, 2022-05-31
Pages: 166
Language: en
ISBN_13:9783031016646
ISBN_10:3031016645
Subject: Technology & Engineering

Chronobioengineering

Introduction to Biological Rhythms with Applications, Volume...

جزئیات و درخواست

By Donald McEachron
Publisher: Springer Nature, 2022-06-01
Pages: 264
Language: en
ISBN_13:9783031016530
ISBN_10:303101653X
Subject: Technology & Engineering

Digital Image Processing for Ophthalmology

Detection of the Optic Nerve Head

$Fundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and the major vascular arcades. Identification of the ONH is an important initial step in the detection and analysis of the anatomical structures and pathological features in the retina. Different types of retinal pathology may be detected and analyzed via the application of appropriately designed techniques of digital image processing and pattern recognition. Computer-aided analysis of retinal images has the potential to facilitate quantitative and objective analysis of retinal lesions and abnormalities. Accurate identification and localization of retinal features and lesions could contribute to improved diagnosis, treatment, and management of retinopathy. This book presents an introduction to diagnostic imaging of the retina and an overview of image processing techniques for ophthalmology. In particular, digital image processing algorithms and pattern analysis techniques for the detection of the ONH are described. In fundus images, the ONH usually appears as a bright region, white or yellow in color, and is indicated as the convergent area of the network of blood vessels. Use of the geometrical and intensity characteristics of the ONH, as well as the property that the ONH represents the location of entrance of the blood vessels and the optic nerve into the retina, is demonstrated in developing the methods. The image processing techniques described in the book include morphological filters for preprocessing fundus images, filters for edge detection, the Hough transform for the detection of lines and circles, Gabor filters to detect the blood vessels, and phase portrait analysis for the detection of convergent or node-like patterns. Illustrations of application of the methods to fundus images from two publicly available databases are presented, in terms of locating the center and the boundary of the ONH. Methods for quantitative evaluation of the results of detection of the ONH using measures of overlap and free-response receiver operating characteristics are also described. Table of Contents: Introduction / Computer-aided Analysis of Images of the Retina / Detection of Geometrical Patterns / Datasets and Experimental Setup / Detection of the\\Optic Nerve Head\\Using the Hough Transform / Detection of the\\Optic Nerve Head\\Using Phase Portraits / Concluding Remarks$

جزئیات و درخواست

By Xiaolu Zhu, Rangaraj Rangayyan, Anna L. Ells
Publisher: Springer Nature, 2022-05-31
Pages: 95
Language: en
ISBN_13:9783031016493
ISBN_10:3031016491
Subject: Technology & Engineering

Fast Quantitative Magnetic Resonance Imaging

جزئیات و درخواست

By Guido Buonincontri, Joshua Kaggie, Martin Graves
Publisher: Springer Nature, 2022-05-31
Pages: 124
Language: en
ISBN_13:9783031016677
ISBN_10:303101667X
Subject: Technology & Engineering

Multi-faceted Deep Learning

Models and Data

جزئیات و درخواست

By Jenny Benois-Pineau, Akka Zemmari
Publisher: Springer Nature, 2021-10-20
Pages: 321
Language: en
ISBN_13:9783030744786
ISBN_10:3030744787
Subject: Computers

Computer-Aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer

$Architectural distortion is an important and early sign of breast cancer, but because of its subtlety, it is a common cause of false-negative findings on screening mammograms. Screening mammograms obtained prior to the detection of cancer could contain subtle signs of early stages of breast cancer, in particular, architectural distortion. This book presents image processing and pattern recognition techniques to detect architectural distortion in prior mammograms of interval-cancer cases. The methods are based upon Gabor filters, phase portrait analysis, procedures for the analysis of the angular spread of power, fractal analysis, Laws' texture energy measures derived from geometrically transformed regions of interest (ROIs), and Haralick's texture features. With Gabor filters and phase-portrait analysis, 4,224 ROIs were automatically obtained from 106 prior mammograms of 56 interval-cancer cases, including 301 true-positive ROIs related to architectural distortion, and from 52 mammograms of 13 normal cases. For each ROI, the fractal dimension, the entropy of the angular spread of power, 10 Laws' texture energy measures, and Haralick's 14 texture features were computed. The areas under the receiver operating characteristic (ROC) curves obtained using the features selected by stepwise logistic regression and the leave-one-image-out method are 0.77 with the Bayesian classifier, 0.76 with Fisher linear discriminant analysis, and 0.79 with a neural network classifier. Free-response ROC analysis indicated sensitivities of 0.80 and 0.90 at 5.7 and 8.8 false positives (FPs) per image, respectively, with the Bayesian classifier and the leave-one-image-out method. The present study has demonstrated the ability to detect early signs of breast cancer 15 months ahead of the time of clinical diagnosis, on the average, for interval-cancer cases, with a sensitivity of 0.8 at 5.7 FP/image. The presented computer-aided detection techniques, dedicated to accurate detection and localization of architectural distortion, could lead to efficient detection of early and subtle signs of breast cancer at pre-mass-formation stages. Table of Contents: Introduction / Detection of Early Signs of Breast Cancer / Detection and Analysis of Oriented Patterns / Detection of Potential Sites of Architectural Distortion / Experimental Set Up and Datasets / Feature Selection and Pattern Classification / Analysis of Oriented Patterns Related to Architectural Distortion / Detection of Architectural Distortion in Prior Mammograms / Concluding Remarks$

جزئیات و درخواست

By Shantanu Banik, Rangaraj Rangayyan, J.E. Leo Desautels
Publisher: Springer Nature, 2022-05-31
Pages: 176
Language: en
ISBN_13:9783031016561
ISBN_10:3031016564
Subject: Technology & Engineering

Health Care Engineering Part II

Research and Development in the Health Care Environment

جزئیات و درخواست

By Monique Frize
Publisher: Springer Nature, 2022-06-01
Pages: 69
Language: en
ISBN_13:9783031016585
ISBN_10:3031016580
Subject: Technology & Engineering

Biomedical Image Analysis

جزئیات و درخواست

By Rangaraj M. Rangayyan
Publisher: CRC Press, 2004-12-30
Pages: 1312
Language: en
ISBN_13:9780203492543
ISBN_10:0203492544
Subject: Medical

Capstone Design Courses, Part II

Preparing Biomedical Engineers for the Real World

جزئیات و درخواست

By Jay Goldberg
Publisher: Springer Nature, 2022-05-31
Pages: 83
Language: en
ISBN_13:9783031016523
ISBN_10:3031016521
Subject: Technology & Engineering

Computer Vision -- ACCV 2009

9th Asian Conference on Computer Vision, Xi'an, China, Septe...

جزئیات و درخواست

By Hongbin Zha, Rin-ichiro Taniguchi, Stephen Maybank
Publisher: Springer Science & Business Media, 2010-04-23
Pages: 703
Language: en
ISBN_13:9783642122965
ISBN_10:3642122965
Subject: Computers

Ciência e cultura

جزئیات و درخواست

1983
Pages: 906
Language: pt-BR
OTHER:CHI:32496529
Subject: Science

Medical Imaging

Image processing

جزئیات و درخواست

1999
Pages: 810
Language: en
OTHER:STANFORD:36105010908973
Subject: Imaging systems in medicine

American Book Publishing Record

جزئیات و درخواست

2006
Pages: 1206
Language: en
OTHER:UOM:39015066180392
Subject: American literature

Digital Mammography

IWDM 2002 — 6th International Workshop on Digital Mammograph...

جزئیات و درخواست

By Heinz-Otto Peitgen
Publisher: Springer Science & Business Media, 2012-12-06
Pages: 603
Language: en
ISBN_13:9783642593277
ISBN_10:3642593275
Subject: Medical

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