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

Chen et al., 2011 - Google Patents

Development and evaluation of a computer‐aided diagnostic scheme for lung nodule detection in chest radiographs by means of two‐stage nodule enhancement with …

Chen et al., 2011

View HTML
Document ID
1860812725701498159
Author
Chen S
Suzuki K
MacMahon H
Publication year
Publication venue
Medical physics

External Links

Snippet

Purpose: To develop a computer‐aided detection (CADe) scheme for nodules in chest radiographs (CXRs) with a high sensitivity and a low false‐positive (FP) rate. Methods: The authors developed a CADe scheme consisting of five major steps, which were developed for …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (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
    • 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
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • 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
    • G06K9/4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
    • 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
    • G06T2207/10116X-ray image
    • 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
    • G06T2207/20212Image combination
    • G06T2207/20224Image subtraction
    • 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
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031Geometric 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
    • G06T3/0037Reshaping or unfolding a 3D tree structure onto a 2D plane

Similar Documents

Publication Publication Date Title
Chen et al. Development and evaluation of a computer‐aided diagnostic scheme for lung nodule detection in chest radiographs by means of two‐stage nodule enhancement with support vector classification
Woźniak et al. Small lung nodules detection based on local variance analysis and probabilistic neural network
Suzuki Pixel‐based machine learning in medical imaging
Subashini et al. Automated assessment of breast tissue density in digital mammograms
Hardie et al. Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs
Chen et al. Computerized detection of lung nodules by means of “virtual dual-energy” radiography
US8175351B2 (en) Computer-aided detection and classification of suspicious masses in breast imagery
Suzuki Machine learning in computer-aided diagnosis of the thorax and colon in CT: a survey
Mahersia et al. Lung cancer detection on CT scan images: a review on the analysis techniques
Gatos et al. A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast‐enhanced ultrasound
Kamble et al. A review on lung and nodule segmentation techniques
Parveen et al. Classification of lung cancer nodules using SVM Kernels
Loizidou et al. Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications
El Atlas et al. Computer-aided breast cancer detection using mammograms: A review
Rani et al. Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification
Singh et al. SVM based system for classification of microcalcifications in digital mammograms
Raman et al. Review on mammogram mass detection by machinelearning techniques
Lee et al. Potential of computer-aided diagnosis to improve CT lung cancer screening
Subasi et al. Breast cancer detection from mammograms using artificial intelligence
Suzuki Computer-aided detection of lung cancer
Tao et al. Multilevel learning‐based segmentation of ill‐defined and spiculated masses in mammograms
Al-Saeed et al. Efficient computer aided diagnosis system for hepatic tumors using computed tomography scans
Chaya Devi et al. On segmentation of nodules from posterior and anterior chest radiographs
Usharani et al. Lung Cancer Detection in CT Images Using Deep Learning Techniques: A Survey Review
Babu et al. Automatic breast cancer detection using HGMMEM algorithm with DELMA classification