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

Anji Reddy et al., 2020 - Google Patents

Breast cancer identification and diagnosis techniques

Anji Reddy et al., 2020

Document ID
3362492721553147644
Author
Anji Reddy V
Soni B
Publication year
Publication venue
Machine Learning for Intelligent Decision Science

External Links

Snippet

Identification of disease in humans accurately is very difficult and also important for further treatment. One of the major tasks for a doctor is the identification of the disease. Once the disease is identified then it is very easy to perform diagnosis for the patient. In this chapter …
Continue reading at link.springer.com (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
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • 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
    • G06K9/62—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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06T2207/10116—X-ray image
    • 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
    • G06F19/34—Computer-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
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • 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
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement

Similar Documents

Publication Publication Date Title
Aghamohammadi et al. TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
Saba Automated lung nodule detection and classification based on multiple classifiers voting
Ganesan et al. Computer-aided breast cancer detection using mammograms: a review
Lather et al. Investigating brain tumor segmentation and detection techniques
US20200160997A1 (en) Method for detection and diagnosis of lung and pancreatic cancers from imaging scans
Sheba et al. An approach for automatic lesion detection in mammograms
Karim et al. DeepKneeExplainer: explainable knee osteoarthritis diagnosis from radiographs and magnetic resonance imaging
Duggani et al. A technical review report on deep learning approach for skin cancer detection and segmentation
Anji Reddy et al. Breast cancer identification and diagnosis techniques
Magdy et al. Automatic classification of normal and cancer lung CT images using multiscale AM‐FM features
Gokulalakshmi et al. ICM-BTD: improved classification model for brain tumor diagnosis using discrete wavelet transform-based feature extraction and SVM classifier
El Atlas et al. Computer-aided breast cancer detection using mammograms: A review
Das et al. A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm
Tummala et al. Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network
Veluchamy et al. Brain tissue segmentation for medical decision support systems
Agarwal et al. Deep learning for enhanced brain Tumor Detection and classification
Crasta et al. A novel Deep Learning architecture for lung cancer detection and diagnosis from Computed Tomography image analysis
Amirkhani et al. Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
Karrar et al. Auto diagnostic system for detecting solitary and juxtapleural pulmonary nodules in computed tomography images using machine learning
Elguebaly et al. A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification
Hamoud et al. The power laws: Zipf and inverse Zipf for automated segmentation and classification of masses within mammograms
Midya et al. Edge weighted local texture features for the categorization of mammographic masses
Quintanilla-Domínguez et al. Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks
Srivastava et al. Optimizing CNN based model for thyroid nodule classification using data augmentation, segmentation and boundary detection techniques
Raghu et al. Brain tumor detection based on mri image segmentation using u-net