Medical image analysis: Progress over two decades and the challenges ahead
The analysis of medical images has been woven into the fabric of the pattern analysis and
machine intelligence (PAMI) community since the earliest days of these Transactions …
machine intelligence (PAMI) community since the earliest days of these Transactions …
Three-dimensional solid texture analysis in biomedical imaging: review and opportunities
Three-dimensional computerized characterization of biomedical solid textures is key to large-
scale and high-throughput screening of imaging data. Such data increasingly become …
scale and high-throughput screening of imaging data. Such data increasingly become …
Marching cubes: A high resolution 3D surface construction algorithm
WE Lorensen, HE Cline - … graphics: pioneering efforts that shaped the …, 1998 - dl.acm.org
We present a new algorithm, called marching cubes, that creates triangle models of constant
density surfaces from 3D medical data. Using a divide-and-conquer approach to generate …
density surfaces from 3D medical data. Using a divide-and-conquer approach to generate …
A note on the gradient of a multi-image
S Di Zenzo - Computer vision, graphics, and image processing, 1986 - Elsevier
Gradient based edge detection techniques can be extended to multispectral images in
various ways: difference operators can be applied to each component of a multi-image, and …
various ways: difference operators can be applied to each component of a multi-image, and …
Finite-element methods for active contour models and balloons for 2-D and 3-D images
The use of energy-minimizing curves, known as" snakes" to extract features of interest in
images has been introduced by Kass, Witkin and Terzopoulos (1987). A balloon model was …
images has been introduced by Kass, Witkin and Terzopoulos (1987). A balloon model was …
[책][B] Geometric partial differential equations and image analysis
G Sapiro - 2006 - books.google.com
This book provides an introduction to the use of geometric partial differential equations in
image processing and computer vision. This research area brings a number of new …
image processing and computer vision. This research area brings a number of new …
A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks
G Lin, U Adiga, K Olson, JF Guzowski… - Cytometry Part A: the …, 2003 - Wiley Online Library
Background Automated segmentation of fluorescently‐labeled cell nuclei in 3D confocal
microscope images is essential to many studies involving morphological and functional …
microscope images is essential to many studies involving morphological and functional …
Reversible data hiding in encrypted three-dimensional mesh models
Reversible data hiding in encrypted domain (RDH-ED) has greatly attracted researchers as
the original content can be losslessly reconstructed after the embedded data are extracted …
the original content can be losslessly reconstructed after the embedded data are extracted …
Three-dimensional texture analysis of MRI brain datasets
A method is proposed for three-dimensional (3-D) texture analysis of magnetic resonance
imaging brain datasets. It is based on extended, multisort co-occurrence matrices that …
imaging brain datasets. It is based on extended, multisort co-occurrence matrices that …
[책][B] Surfaces in range image understanding
PJ Besl - 2012 - books.google.com
Machine perception requires the digitization of physically-sensed signals. During the last ten
years, digital range images have become available from a variety of sensors. This book is …
years, digital range images have become available from a variety of sensors. This book is …