Color Medical Image Analysis /
Celebi, M. Emre.
Color Medical Image Analysis / edited by M. Emre Celebi, Gerald Schaefer. - x, 204 páginas 69 ilustraciones, 63 ilustraciones en color. recurso en línea. - Lecture Notes in Computational Vision and Biomechanics, 6 2212-9391 ; .
Springer eBooks
Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
9789400753891
10.1007/9789400753891 doi
R856-857
Color Medical Image Analysis / edited by M. Emre Celebi, Gerald Schaefer. - x, 204 páginas 69 ilustraciones, 63 ilustraciones en color. recurso en línea. - Lecture Notes in Computational Vision and Biomechanics, 6 2212-9391 ; .
Springer eBooks
Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
9789400753891
10.1007/9789400753891 doi
R856-857