[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhang et al., 2009 - Google Patents

Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence

Zhang et al., 2009

View PDF
Document ID
18389305345101046908
Author
Zhang N
Ruan S
Lebonvallet S
Liao Q
Zhu Y
Publication year
Publication venue
2009 16th IEEE International Conference on Image Processing (ICIP)

External Links

Snippet

In this paper, the multi-kernel SVM (Support Vector Machine) classification, integrated with a fusion process, is proposed to segment brain tumor from multi-sequence MRI images (T2, PD, FLAIR). The objective is to quantify the evolution of a tumor during a therapeutic …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10104Positron emission tomography [PET]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/52Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527Scale-space domain transformation, e.g. with wavelet analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand

Similar Documents

Publication Publication Date Title
US8774479B2 (en) System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors
Caballo et al. Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence
Zhang et al. Detecting anatomical landmarks for fast Alzheimer’s disease diagnosis
US10593035B2 (en) Image-based automated measurement model to predict pelvic organ prolapse
Mahapatra et al. Prostate MRI segmentation using learned semantic knowledge and graph cuts
US9235887B2 (en) Classification of biological tissue by multi-mode data registration, segmentation and characterization
Ahirwar Study of techniques used for medical image segmentation and computation of statistical test for region classification of brain MRI
Ruan et al. Tumor segmentation from a multispectral MRI images by using support vector machine classification
Ortiz-Ramón et al. Glioblastomas and brain metastases differentiation following an MRI texture analysis-based radiomics approach
Zhang et al. Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence
Rao et al. Brain tumor detection and segmentation using conditional random field
Fazlollahi et al. Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging
Zacharaki et al. Measuring brain lesion progression with a supervised tissue classification system
Mahapatra Graph cut based automatic prostate segmentation using learned semantic information
Hasan et al. Automated screening of MRI brain scanning using grey level statistics
Jayachandran et al. Severity analysis of brain tumor in MRI images using modified multi-texton structure descriptor and kernel-SVM
Sanyal et al. An automated two-step pipeline for aggressive prostate lesion detection from multi-parametric MR sequence
WO2014107402A1 (en) Classification of biological tissue by multi-mode data registration, segmentation and characterization
Das et al. Techniques for MRI brain tumor detection: a survey
Hasan et al. Breast cancer MRI classification based on fractional entropy image enhancement and deep feature extraction
Lao et al. Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification
Naz et al. Automated techniques for brain tumor segmentation and detection: A review study
Gopinath et al. Enhanced Lung Cancer Classification and Prediction based on Hybrid Neural Network Approach
Gupta et al. Volumetric analysis of MR images for glioma classification and their effect on brain tissues
Snehkunj et al. Brain MRI/CT images feature extraction to enhance abnormalities quantification