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

Isfahani et al., 2021 - Google Patents

Presentation of novel hybrid algorithm for detection and classification of breast cancer using growth region method and probabilistic neural network

Isfahani et al., 2021

View PDF @Full View
Document ID
901539285349844913
Author
Isfahani Z
Jannat-Dastjerdi I
Eskandari F
Ghoushchi S
Pourasad Y
Publication year
Publication venue
Computational Intelligence and Neuroscience

External Links

Snippet

Mammography is a significant screening test for early detection of breast cancer, which increases the patient's chances of complete recovery. In this paper, a clustering method is presented for the detection of breast cancer tumor locations and areas. To implement the …
Continue reading at onlinelibrary.wiley.com (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
    • G06K9/62Methods 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
    • 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
    • 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
    • G06K9/6279Classification techniques relating to the number of classes
    • 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
    • G06K9/6228Selecting the most significant subset of features
    • 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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6261Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
    • 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
    • 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
    • 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
    • G06T2207/10Image acquisition modality
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • 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
Shah et al. A robust approach for brain tumor detection in magnetic resonance images using finetuned efficientnet
Michael et al. An optimized framework for breast cancer classification using machine learning
Reshma et al. Detection of breast cancer using histopathological image classification dataset with deep learning techniques
Hariraj et al. Fuzzy multi-layer SVM classification of breast cancer mammogram images
Isfahani et al. Presentation of novel hybrid algorithm for detection and classification of breast cancer using growth region method and probabilistic neural network
Rani et al. Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification
Singh et al. An approach for classification of malignant and benign microcalcification clusters
Rai et al. A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Bakkouri et al. Multi-scale CNN based on region proposals for efficient breast abnormality recognition
Parvathavarthini et al. Breast cancer detection using crow search optimization based Intuitionistic fuzzy clustering with neighborhood attraction
Iqbal et al. AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework
Kuruvilla et al. Lung cancer classification using fuzzy logic for CT images
Pawar et al. Local Binary Patterns Descriptor Based on Sparse Curvelet Coefficients for False‐Positive Reduction in Mammograms
Amirkhani et al. Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
Vijila Rani et al. Automatic segmentation and classification of lung tumour using advance sequential minimal optimisation techniques
Manivasagan et al. A survey on various kinds of image segmentation of cancer images using fuzzy image processing methods
Amin et al. An intelligent framework for automatic breast cancer classification using novel feature extraction and machine learning techniques
Masmoudi et al. Robust mass classification–based local binary pattern variance and shape descriptors
Laishram et al. An optimized ensemble classifier for mammographic mass classification
El-Sokkary et al. Machine learning algorithms for breast cancer CADx system in the mammography
Thanya et al. Grey Wolf Optimizer Based Deep Learning for Pancreatic Nodule Detection.
Isfahani et al. Research Article Presentation of Novel Hybrid Algorithm for Detection and Classification of Breast Cancer Using Growth Region Method and Probabilistic Neural Network
Kumari et al. Role of Computed Tomography Imaging for the Diagnosis and Classification of Lung Cancer using Machine Learning
Kulandaivelu et al. Automated breast cancer diagnosis optimized with higher-order attribute-enhancing heterogeneous graph neural networks using mammogram images
Emirzade A computer aided diagnosis system for lung cancer detection using SVM