[go: up one dir, main page]

Tourassi et al., 2007 - Google Patents

Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms

Tourassi et al., 2007

Document ID
18126649946691001741
Author
Tourassi G
Harrawood B
Floyd Jr C
Publication year
Publication venue
Medical Imaging 2007: Computer-Aided Diagnosis

External Links

Snippet

Multiplatform application of CAD systems in mammography is often limited due to image preprocessing steps that are tailored to the acquisition protocol such as the digitizer. The purpose of this study was to validate our knowledge-based CAD system across two different …
Continue reading at www.spiedigitallibrary.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20064—Wavelet transform [DWT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing 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
Debelee et al. Survey of deep learning in breast cancer image analysis
Tourassi et al. Computer‐assisted detection of mammographic masses: A template matching scheme based on mutual information
Pereira et al. Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm
Strickland et al. Wavelet transforms for detecting microcalcifications in mammograms
Ramos et al. Texture extraction: An evaluation of ridgelet, wavelet and co-occurrence based methods applied to mammograms
Li Recent progress in computer-aided diagnosis of lung nodules on thin-section CT
Mazurowski et al. Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis
Zheng et al. Soft-copy mammographic readings with different computer-assisted detection cuing environments: preliminary findings
Wei et al. False‐positive reduction technique for detection of masses on digital mammograms: Global and local multiresolution texture analysis
Bowyer Validation of medical image analysis techniques
Lee et al. A computer-aided design mammography screening system for detection and classification of microcalcifications
Liu et al. Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method
Nusantara et al. Classification of digital mammogram based on nearest-neighbor method for breast cancer detection
Caroline et al. Computer aided detection of masses in digital breast tomosynthesis: A review
Singh et al. Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach
Faye et al. Digital mammograms classification using a wavelet based feature extraction method
Zheng et al. Performance gain in computer‐assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering
Leung et al. A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography
Li et al. A novel application of multifractal features for detection of microcalcifications in digital mammograms
Tourassi et al. Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms
Dimililer et al. Image preprocessing phase with artificial intelligence methods on medical images
Diaz-Escobar et al. Classification of breast abnormalities in digital mammography using phase-based features
de Azevedo-Marques et al. Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge
Tourassi et al. Content-based image retrieval as a computer aid for the detection of mammographic masses
Hasanabadi et al. Detection of pulmonary nodules in CT images using template matching and neural classifier