Nothing Special   »   [go: up one dir, main page]

Wan et al., 2014 - Google Patents

Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology

Wan et al., 2014

View PDF
Document ID
10858887306683279541
Author
Wan T
Liu X
Chen J
Qin Z
Publication year
Publication venue
2014 IEEE International conference on image processing (ICIP)

External Links

Snippet

To diagnose breast cancer (BCa), the number of mitotic cells present in tissue sections is an important parameter to examine and grade breast biopsy specimen. The differentiation of mitotic from non-mitotic cells in breast histopathological images is a crucial step for …
Continue reading at projet.liris.cnrs.fr (PDF) (other versions)

Classifications

    • 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
    • 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
    • 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
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • 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
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • 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
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G06K9/0014Pre-processing, e.g. image segmentation ; Feature extraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • 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

Similar Documents

Publication Publication Date Title
Wan et al. Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology
Pak et al. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution
Al-Hafiz et al. Red blood cell segmentation by thresholding and Canny detector
Schmitt et al. Morphological multiscale decomposition of connected regions with emphasis on cell clusters
Bhattacharjee et al. Review on histopathological slide analysis using digital microscopy
Zulkoffli et al. Detection of brain tumor and extraction of features in MRI images using K-means clustering and morphological operations
CA2454091A1 (en) Chromatin segmentation
Irshad et al. Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology
Kallel et al. An iterative possibilistic knowledge diffusion approach for blind medical image segmentation
Abdelsamea An automatic seeded region growing for 2d biomedical image segmentation
Wan et al. Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
Pourakpour et al. Automated mitosis detection based on combination of effective textural and morphological features from breast cancer histology slide images
Baker et al. Automated detection of benign and malignant in breast histopathology images
WO2014006421A1 (en) Identification of mitotic cells within a tumor region
Mudgal et al. Automated system for Brain tumour detection and classification using eXtreme Gradient Boosted decision trees
Shirazi et al. Automated pathology image analysis
Sengar et al. Analysis of 2D-gel images for detection of protein spots using a novel non-separable wavelet based method
Hiremath et al. Automated evaluation of breast cancer detection using SVM classifier
Naaz et al. ANALYSIS OF MRI IMAGES USING DATA MINING FOR DETECTION OF BRAIN TUMOR.
Ram et al. Symmetry-based detection of nuclei in microscopy images
Shanmugavadivu et al. Segmentation of pectoral muscle in mammograms using Fractal method
Mosleh et al. An automatic nuclei cells counting approach using effective image processing methods
Sertel et al. An image analysis approach for detecting malignant cells in digitized H&E-stained histology images of follicular lymphoma
Rezaeilouyeh et al. Prostate cancer detection and gleason grading of histological images using shearlet transform
Mahmoud et al. Novel feature extraction methodology based on histopathalogical images and subsequent classification by Support Vector Machine