Narrow your search

Library

AP (2)

KDG (2)

KU Leuven (2)

Odisee (2)

Thomas More Kempen (2)

Thomas More Mechelen (2)

UCLL (2)

ULB (2)

ULiège (2)

VIVES (2)


Resource type

book (2)

digital (2)


Language

English (4)


Year
From To Submit

2014 (4)

Listing 1 - 4 of 4
Sort by

Book
Computer vision techniques for the diagnosis of skin cancer
Authors: ---
ISSN: 2196887X ISBN: 3642396070 3642396089 Year: 2014 Publisher: Heidelberg [Germany] : Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer. Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and  provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.

Keywords

Skin --- Diagnostic imaging --- Computer vision in medicine. --- Cancer --- Diagnosis. --- Digital techniques. --- Microscopy. --- Cutis --- Integument (Skin) --- Digital diagnostic imaging --- Engineering. --- Dermatology. --- Image processing. --- Medical physics. --- Radiation. --- Biomedical engineering. --- Biomedical Engineering. --- Image Processing and Computer Vision. --- Signal, Image and Speech Processing. --- Medical and Radiation Physics. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Physics --- Radiology --- Health physics --- Health radiation physics --- Medical radiation physics --- Radiotherapy physics --- Radiation therapy physics --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Construction --- Industrial arts --- Technology --- Diseases --- Beauty, Personal --- Body covering (Anatomy) --- Digital electronics --- Computer vision. --- Biomedical Engineering and Bioengineering. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Signal processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Diagnostic imaging. --- Melanoma


Digital
Computer Vision Techniques for the Diagnosis of Skin Cancer
Authors: ---
ISBN: 9783642396083 Year: 2014 Publisher: Berlin, Heidelberg Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer. Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and  provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.


Book
Signal and image processing for biometrics
Authors: --- ---
ISBN: 3642540791 3642540805 9783642540806 Year: 2014 Publisher: Berlin : Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.


Digital
Signal and Image Processing for Biometrics
Authors: --- ---
ISBN: 9783642540806 Year: 2014 Publisher: Berlin, Heidelberg Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.

Listing 1 - 4 of 4
Sort by