Patch Based Techniques in Medical Imaging

This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The topics covered are such as image segmentation of anatomical structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis; image retrieval; dynamic, functional physiologic and anatomic imaging; super-pixel/voxel in medical image analysis; sparse dictionary learning and sparse coding; analysis of 2D, 2D+t, 3D, 3D+t, 4D, and 4D+t data.

Produk Detail:

  • Author : Guorong Wu
  • Publisher : Springer
  • Pages : 216 pages
  • ISBN : 3319281941
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKPatch Based Techniques in Medical Imaging

Patch-Based Techniques in Medical Imaging

Patch-Based Techniques in Medical Imaging
  • Author : Guorong Wu,Pierrick Coupé,Yiqiang Zhan,Brent Munsell,Daniel Rueckert
  • Publisher : Springer
  • Release : 07 January 2016
GET THIS BOOKPatch-Based Techniques in Medical Imaging

This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The topics covered are such as image segmentation of anatomical structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis; image retrieval; dynamic, functional physiologic and anatomic

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013
  • Author : Kensaku Mori,Ichiro Sakuma,Yoshinobu Sato,Christian Barillot,Nassir Navab
  • Publisher : Springer
  • Release : 20 September 2013
GET THIS BOOKMedical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 95 papers included in the first volume have been organized in the following topical sections: physiological modeling and computer-assisted intervention; imaging, reconstruction, and enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis

Big Data in Multimodal Medical Imaging

Big Data in Multimodal Medical Imaging
  • Author : Ayman El-Baz,Jasjit S. Suri
  • Publisher : CRC Press
  • Release : 06 November 2019
GET THIS BOOKBig Data in Multimodal Medical Imaging

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
  • Author : Marzena Kryszkiewicz,Sanghamitra Bandyopadhyay,Henryk Rybinski,Sankar K. Pal
  • Publisher : Springer
  • Release : 22 June 2015
GET THIS BOOKPattern Recognition and Machine Intelligence

This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.

Local Approximation Techniques in Signal and Image Processing

Local Approximation Techniques in Signal and Image Processing
  • Author : Vladimir Katkovnik,Vladimir I︠A︡kovlevich Katkovnik,Karen Egiazarian,Jaakko Astola
  • Publisher : SPIE-International Society for Optical Engineering
  • Release : 17 June 2021
GET THIS BOOKLocal Approximation Techniques in Signal and Image Processing

This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for

Wavelet Denoising

Wavelet Denoising
  • Author : Abdeldjalil Ouahabi
  • Publisher : Wiley-ISTE
  • Release : 11 November 2019
GET THIS BOOKWavelet Denoising

The persistence of noise in imaging technologies has been one of the greatest challenges to the developments of digital imaging technologies in modern medicine, such as MRIs. This text conveys the usefulness of wavelets in compact signal and image representations to denoise images and improve compression and feature detection processing. Standard imaging techniques are largely successful in modern medical practices, and denoising only aids the precision and accuracy of disease diagnoses.

Noise Reduction by Wavelet Thresholding

Noise Reduction by Wavelet Thresholding
  • Author : Maarten Jansen
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKNoise Reduction by Wavelet Thresholding

Wavelet methods have become a widely spread tool in signal and image process ing tasks. This book deals with statistical applications, especially wavelet based smoothing. The methods described in this text are examples of non-linear and non parametric curve fitting. The book aims to contribute to the field both among statis ticians and in the application oriented world (including but not limited to signals and images). Although it also contains extensive analyses of some existing methods, it has no intention

The Essential Guide to Image Processing

The Essential Guide to Image Processing
  • Author : Alan C. Bovik
  • Publisher : Academic Press
  • Release : 08 July 2009
GET THIS BOOKThe Essential Guide to Image Processing

A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some