Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
3,332
Guiding Automatic Segmentation with Multiple Manual Segmentations
"... Abstract. Most image segmentation algorithms are designed to esti-mate a single segmentation for each image, where the gold standard segmentation is often labeled by a human expert. However, it is common that multiple manual segmentations are available for some images, e.g. independently labeled by ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
Abstract. Most image segmentation algorithms are designed to esti-mate a single segmentation for each image, where the gold standard segmentation is often labeled by a human expert. However, it is common that multiple manual segmentations are available for some images, e.g. independently labeled
Mask Extraction from Manually Segmented MIAS Mammograms
"... Abstract -The first step in computer aided detection (CAD) in mammography relies on accurate image segmentation. Testing of CAD algorithms should include comparison with other proposed methods in order to show how a new method compares with ones presented before. Two most popular mammographic datab ..."
Abstract
- Add to MetaCart
extraction of manually segmented breast segmentation masks from MIAS database. The manual segmentation process has been performed by the professional radiologist on printed images, which have later been digitized and breast pectoral muscle masks have been extracted. The extraction process differs for breast
Refining Coarse Manual Segmentations with Stable Probability Regions
"... Abstract. Most feature-based lesion detection and computer-aided di-agnosis methods for medical images require representative data of each region of interest (ROI) for parameter selection. Furthermore, the spa-tial accuracy of the segmentation of the ROIs from the background can significantly affect ..."
Abstract
- Add to MetaCart
affect certain image features extracted from the ROIs. How-ever, requiring spatially accurate manual segmentations of the ROIs to be used as the ground truth is infeasible for large image sets due to the amount of manual work involved. To relax the requirement of spatial accuracy and to enable spatial
Cortical surface-based analysis. I. Segmentation and surface reconstruction
- Neuroimage
, 1999
"... Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical pr ..."
Abstract
-
Cited by 450 (42 self)
- Add to MetaCart
, requiring little or no manual intervention. Automated routines for unfolding and flattening the cortical surface are described in a companion paper. These procedures allow for the routine use of cortical surface-based analysis and visualization methods in functional brain imaging.
ATR subsystem performance measures using manual segmentation of SAR target chips
"... Target recognition research for Synthetic Aperture Radar (SAR) has been made easier with the introduction of target chip sets. The target chips typically are of good quality and consist of three regions: target, shadow and background clutter. Target chip sets allow recognition researchers to bypass ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
the quality filtering and detection phases of the automatic recognition process. So, the researcher can focus on segmentation and matching techniques. A manual segmentation process using supervised quality control is introduced in this paper. Using `goodness of fit' measures the quality of manual
Inter-rater reliability of manual segmentation of the superior, inferior and
"... middle frontal gyri ..."
3D MODELS OF PELVIC FLOOR MUSCLES DEVELOPED BY MANUAL SEGMENTATION TO FEM
"... The female pelvic floor is an understudied region of the body from the biomechanical perspective. MRI has been used in the diagnostic evaluation of the pelvic floor dysfunctions. Static images show their morphology while dynamic images show the functional changes that occur on straining and contract ..."
Abstract
- Add to MetaCart
and contraction of the pelvic floor. In the present work, MR images contribute to generate 3D solids of pelvic floor muscles through manual segmentation. To study the biomechanical behavior of pelvic floor muscles the Finite Element Method (FEM) would be applied to these 3D solids, contributing to analyze
An Experimental Comparison of Range Image Segmentation Algorithms
, 1996
"... A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves (a) a common set of 40 laser range finder images and 40 structured light scanner images that have manually specified ground truth and (b) a set of defined performance metrics for instances of c ..."
Abstract
-
Cited by 287 (20 self)
- Add to MetaCart
A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves (a) a common set of 40 laser range finder images and 40 structured light scanner images that have manually specified ground truth and (b) a set of defined performance metrics for instances
Video Article A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
, 2014
"... The present paper describes a comprehensive protocol for manual tracing of the set of brain regions comprising the medial temporal lobe (MTL): amygdala, hippocampus, and the associated parahippocampal regions (perirhinal, entorhinal, and parahippocampal proper). Unlike most other tracing protocols a ..."
Abstract
- Add to MetaCart
by illustrating possible differences between automatic and manual segmentation protocols. This knowledge can be applied toward research involving not only structural MRI investigations but also structural-functional colocalization and fMRI signal extraction from anatomically defined ROIs, in healthy and clinical
Manual Segmentation of MS Cortical Lesions Using MRI: A Comparison of 3 MRI Reading Protocols
"... ABSTRACT BACKGROUND AND PURPOSE: Double inversion recovery has been suggested as the MR imaging contrast of choice for segmenting cortical lesions in patients with multiple sclerosis. In this study, we sought to determine the utility of double inversion recovery for cortical lesion identification b ..."
Abstract
- Add to MetaCart
ABSTRACT BACKGROUND AND PURPOSE: Double inversion recovery has been suggested as the MR imaging contrast of choice for segmenting cortical lesions in patients with multiple sclerosis. In this study, we sought to determine the utility of double inversion recovery for cortical lesion identification
Results 1 - 10
of
3,332
