[go: up one dir, main page]

Martel, 2020 - Google Patents

CAD and machine learning for breast MRI

Martel, 2020

Document ID
10174058881863870164
Author
Martel A
Publication year
Publication venue
Breast MRI for high-risk screening

External Links

Snippet

A typical breast MRI exam results in thousands of image slices from multiple sequences, collected over multiple time points and with different tissue contrasts. Computerized support systems help the radiologist to navigate through these images by detecting and …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac
    • 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
    • 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
    • G06K9/62Methods 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
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20224Image subtraction
    • 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
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • 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

Similar Documents

Publication Publication Date Title
Karim et al. Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images
US8774479B2 (en) System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors
Agner et al. Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification
US10593035B2 (en) Image-based automated measurement model to predict pelvic organ prolapse
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
Twellmann et al. An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data
Wang et al. Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis
Ganiler et al. A subtraction pipeline for automatic detection of new appearing multiple sclerosis lesions in longitudinal studies
Oeltze et al. Interactive visual analysis of perfusion data
US11790524B2 (en) System and method for quantitative volumetric assessment and modeling of tumor lesions
US9230321B2 (en) Computer aided diagnostic system incorporating 3D shape analysis of the brain for identifying developmental brain disorders
Meyer-Bäse et al. Current status and future perspectives of artificial intelligence in magnetic resonance breast imaging
Jin et al. Automatic coronary plaque detection, classification, and stenosis grading using deep learning and radiomics on computed tomography angiography images: a multi-center multi-vendor study
WO2014107402A1 (en) Classification of biological tissue by multi-mode data registration, segmentation and characterization
Das et al. A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm
Wei et al. Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocols
Arimura et al. Automated method for identification of patients with Alzheimer’s disease based on three-dimensional MR images
Elahi et al. An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
Mutlu et al. A fully-automated computer-aided breast lesion detection and classification system
Fooladivanda et al. Localized-atlas-based segmentation of breast MRI in a decision-making framework
Assis et al. Intracranial aneurysm detection: an object detection perspective
Comelli et al. Automatic multi-seed detection for MR breast image segmentation
Martel CAD and machine learning for breast MRI
Buongiorno et al. Uip-net: a decoder-encoder cnn for the detection and quantification of usual interstitial pneumoniae pattern in lung ct scan images