Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 -
6 of
6
RECOD at ImageCLEF 2011: Medical Modality Classification using Genetic Programming
"... Abstract. This paper describes the participation of the RECOD group on the ImageCLEF 2011 Medical Modality Classification sub-task. We present an approach based on genetic programming and kNN for image classification. In our approach the genetic programming is used for the learning of good functions ..."
Abstract
- Add to MetaCart
functions for the combination of similarities obtained from a set of global descriptors for different visual evidences such as color, texture, and shape. For each class of the dataset a combination function was learned and used as a kNN classifier. Final classification results were generated by a majority
On feature combination for multiclass object classification
- IN ICCV
"... A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. While this is a necessity in order to generalize beyond a given set of training images, it is also a very difficult problem du ..."
Abstract
-
Cited by 259 (5 self)
- Add to MetaCart
and the combination of multiple complementary features based on different aspects such as shape, color or texture. In this paper we study several models that aim at learning the correct weighting of different features from training data. These include multiple kernel learning as well as simple baseline methods
Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI
- Acad. Radiol
"... Rationale and Objectives: Accurate prostate volume estimation is useful for calculating prostate-specific antigen density and in evaluating posttreatment response. In the clinic, prostate volume estimation involves modeling the prostate as an ellipsoid or a spheroid from transrectal ultrasound, or ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
. Using a set of training images, the MFA learns the most discriminating statistical texture descriptors of the prostate boundary via a forward feature selection algorithm. After identification of the optimal image features, the MFA is deformed to accurately fit the prostate border. An expert radiologist
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
Abstract
- Add to MetaCart
of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly
Accurate TB manifestation using multi class SVM classifier
"... Abstract: TB is one of the leading causes of death worldwide, with a mortality rate of over 1.2 million people in [2010].When TB is left undiagnosed, mortality rates will be high. This paper presents an accurate approach for detecting TB using a well-known classifier known as the Multiclass SVM cla ..."
Abstract
- Add to MetaCart
Patterns is a type of feature used for classification in computer vision.LBP is the particular case of the‖Texture Specrum Method proposed‖.LBP was first described, and it has since been found to be a powerful feature for texture classification.It has further been determined that when LBP is combined
