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

Calderon-Ramirez et al., 2021 - Google Patents

Improving uncertainty estimations for mammogram classification using semi-supervised learning

Calderon-Ramirez et al., 2021

View PDF
Document ID
5633762796162190932
Author
Calderon-Ramirez S
Murillo-Hernandez D
Rojas-Salazar K
Calvo-Valverd L
Yang S
Moemeni A
Elizondo D
López-Rubio E
Molina-Cabello M
Publication year
Publication venue
2021 International Joint Conference on Neural Networks (IJCNN)

External Links

Snippet

Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning model under real world scenarios. The usage of …
Continue reading at riuma.uma.es (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
    • 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
    • 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
    • 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
    • G06K9/6261Design 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
    • 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
    • G06K9/6262Validation, performance evaluation or active pattern learning techniques
    • 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
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • 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
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • G06K9/00147Matching; Classification
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Ju et al. Improving medical images classification with label noise using dual-uncertainty estimation
Calderon-Ramirez et al. Improving uncertainty estimations for mammogram classification using semi-supervised learning
Calderon-Ramirez et al. Correcting data imbalance for semi-supervised covid-19 detection using x-ray chest images
Bi et al. An improved multi-task learning approach with applications in medical diagnosis
Calderon-Ramirez et al. Improving uncertainty estimation with semi-supervised deep learning for COVID-19 detection using chest X-ray images
US20130231552A1 (en) Method and System for Diagnosis of Attention Deficit Hyperactivity Disorder from Magnetic Resonance Images
Qian et al. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network
Feng et al. Deep supervised domain adaptation for pneumonia diagnosis from chest x-ray images
Calderon-Ramirez et al. Dealing with distribution mismatch in semi-supervised deep learning for covid-19 detection using chest x-ray images: A novel approach using feature densities
Calderon-Ramirez et al. A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica
Isfahani et al. Presentation of novel hybrid algorithm for detection and classification of breast cancer using growth region method and probabilistic neural network
Mishra et al. Digital Mammogram Inferencing System Using Intuitionistic Fuzzy Theory.
Vig Comparative analysis of different classifiers for the Wisconsin breast cancer dataset
Duong et al. Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients
Zaylaa et al. Advancing Breast Cancer Diagnosis through Breast Mass Images, Machine Learning, and Regression Models
Kaul et al. High Accuracy Predictive Model on Breast Cancer Using Ensemble Approach of Supervised Machine Learning Algorithms
Murillo-Hernandez et al. Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
Moura et al. Texture-based feature extraction for Covid-19 pneumonia classification using chest radiography
Vanderheyden et al. Mammography image BI-RADS classification using ohplall
Dimmita et al. Mammography-based Computer-Aided Diagnostics for the Identification of Breast Cancer Based on Machine Learning.
Armand et al. Overview of the potentials of multiple instance learning in cancer diagnosis: Applications, challenges, and future directions
George Extreme learning machine based classification for detecting micro-calcification in mammogram using multi scale features
Shill Identification of COVID-19 from Chest CT Scan Using CNN as Feature Extractor and Voting Classifier
Rampun et al. Confidence analysis for breast mass image classification
Shen Towards Explainable Deep Learning for Medical Image Analysis