[go: up one dir, main page]

Hariraj et al., 2018 - Google Patents

Fuzzy multi-layer SVM classification of breast cancer mammogram images

Hariraj et al., 2018

View PDF
Document ID
12320917964092338887
Author
Hariraj V
Khairunizam W
Vikneswaran V
Ibrahim Z
Shahriman A
Zuradzman M
Rajendran T
Sathiyasheelan R
Publication year
Publication venue
Int J Mech Engg Tech

External Links

Snippet

ABSTRACT A huge increase in health issues has set new challenges to clinical routine for patient's record about diagnosis, treatment and follow-up, with help of data & image processing it is possible to assist or automate the radiologist for diagnosis. Detection of …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • 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
    • G06T2207/20112—Image segmentation details
    • 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
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • 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
    • G06T2207/10024—Color image
    • 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
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Hariraj et al. Fuzzy multi-layer SVM classification of breast cancer mammogram images
Shah et al. A robust approach for brain tumor detection in magnetic resonance images using finetuned efficientnet
Jebarani et al. A novel hybrid K-means and GMM machine learning model for breast cancer detection
Sailunaz et al. A survey on brain tumor image analysis
Agrawal et al. Detection of breast cancer from mammograms using a hybrid approach of deep learning and linear classification
Isfahani et al. Presentation of novel hybrid algorithm for detection and classification of breast cancer using growth region method and probabilistic neural network
Behar et al. A novel model for breast cancer detection and classification
Abdulla et al. Breast cancer segmentation using K-means clustering and optimized region-growing technique
Kriti et al. A characterization approach for the review of CAD systems designed for breast tumor classification using B-mode ultrasound images
Bishnoi et al. Automated system-based classification of lung cancer using machine learning
Karrar et al. Auto diagnostic system for detecting solitary and juxtapleural pulmonary nodules in computed tomography images using machine learning
Oliver i Malagelada Automatic mass segmentation in mammographic images
Simie et al. Lung cancer detection using convolutional neural network (CNN)
Pawar et al. Local Binary Patterns Descriptor Based on Sparse Curvelet Coefficients for False‐Positive Reduction in Mammograms
Vijila Rani et al. Automatic segmentation and classification of lung tumour using advance sequential minimal optimisation techniques
Mahalaxmi et al. Liver Cancer Detection Using Various Image Segmentation Approaches: A Review.
Khoulqi et al. Cervical cancer detection and classification using mris
Pawar et al. Advances in machine learning and deep learning approaches for mammographic breast density measurement for breast cancer risk prediction: an overview
Kannan et al. Breast Cancer Detection in Computed Tomography Images Using Attention-Based Convolutional Neural Networks
Star et al. Segmentation of breast lesion using fuzzy thresholding and deep learning
Gupta et al. Breast cancer identification using feature level fusion and hybrid GA-PSO optimized neural network
Naga et al. Feature extraction based breast cancer detection using WPSO with CNN
Suresha et al. ReliefF feature selection based alzheimer disease classification using hybrid features and support vector machine in magnetic resonance imaging
Manju et al. Early diagnosis of lung tumors for extending patients’ life using deep neural networks
Vijayarajan et al. A novel comparative study on breast cancer detection using different types of classification techniques