4.6 Article

An empirical evaluation of extreme learning machine uncertainty quantification for automated breast cancer detection

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment

Santosh Kumar Sharma et al.

Summary: Diabetes is a common chronic disease, and early detection plays a crucial role in reducing the risk factors. This research proposes an automated eHealth cloud system using Machine Learning for early detection of diabetes, aiming to decrease mortality rate and improve healthcare in rural areas. The study utilizes extreme learning machine (ELM) for feature selection and classification, and evaluates the proposed model in a cloud computing environment.

IEEE ACCESS (2023)

Article Chemistry, Analytical

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion

Kiran Jabeen et al.

Summary: This paper proposes a framework for breast cancer classification from ultrasound images using deep learning and feature fusion. The framework achieves high accuracy in early cancer detection, outperforming recent techniques.

SENSORS (2022)

Review Computer Science, Interdisciplinary Applications

A Characterization Approach for the Review of CAD Systems Designed for Breast Tumor Classification Using B-Mode Ultrasound Images

Kriti et al.

Summary: This paper discusses the various imaging modalities used for screening breast tumors, the challenges in accurate diagnosis of abnormalities in ultrasound images, and the interest in enhancing the diagnostic potential of ultrasound images through machine learning and deep learning approaches in CAD system designs. It highlights the clinically significant sonographic features, achievements, and future challenges in designing CAD systems for breast tumor classification, as well as directions for future research to improve the diagnostic potential of ultrasound imaging modality.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2022)

Article Engineering, Biomedical

Effect of despeckle filtering on classification of breast tumors using ultrasound images

Kriti et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2019)

Article Computer Science, Interdisciplinary Applications

Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention

Amirmasoud Ahmadi et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)

Article Computer Science, Artificial Intelligence

Automated diagnosis of breast ultrasonography images using deep neural networks

Xiaofeng Qi et al.

MEDICAL IMAGE ANALYSIS (2019)

Article Computer Science, Information Systems

An empirical evaluation of extreme learning machine: application to handwritten character recognition

Dibyasundar Das et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2019)

Article Computer Science, Information Systems

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm

Yu-Dong Zhang et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

Article Computer Science, Interdisciplinary Applications

Improved lung nodule diagnosis accuracy using lung CT images with uncertain class

Zhiqiong Wang et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Health Care Sciences & Services

Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?

Chia-Yen Lee et al.

JOURNAL OF HEALTHCARE ENGINEERING (2018)

Article Automation & Control Systems

Breast tumor classification in ultrasound images using texture analysis and super-resolution methods

Mohamed Abdel-Nasser et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Article Engineering, Biomedical

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Seokmin Han et al.

PHYSICS IN MEDICINE AND BIOLOGY (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images

Bikesh Kumar Singh et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Dimension Reduction With Extreme Learning Machine

Liyanaarachchi Lekamalage Chamara Kasun et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)

Editorial Material Computer Science, Information Systems

Editorial: Randomized algorithms for training neural networks

Dianhui Wang

INFORMATION SCIENCES (2016)

Article Computer Science, Artificial Intelligence

Breast mass classification in digital mammography based on extreme learning machine

Weiying Xie et al.

NEUROCOMPUTING (2016)

Article Multidisciplinary Sciences

Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease

Valentina Cappello et al.

SCIENTIFIC REPORTS (2016)

Article Computer Science, Artificial Intelligence

Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM

Darya Chyzhyk et al.

NEURAL NETWORKS (2015)

Article Computer Science, Artificial Intelligence

Breast Nodules Computer-Aided Diagnostic System Design Using Fuzzy Cerebellar Model Neural Networks

Chih-Min Lin et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)

Article Computer Science, Artificial Intelligence

A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise

Yan-Lin He et al.

NEUROCOMPUTING (2014)

Article Engineering, Biomedical

Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image

Shichong Zhou et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2013)

Article Computer Science, Interdisciplinary Applications

Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis

Min-Chun Yang et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)

Review Physics, Multidisciplinary

The Moore-Penrose Pseudoinverse: A Tutorial Review of the Theory

Joao Carlos Alves Barata et al.

BRAZILIAN JOURNAL OF PHYSICS (2012)

Article Automation & Control Systems

Extreme Learning Machine for Regression and Multiclass Classification

Guang-Bin Huang et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2012)

Article Computer Science, Information Systems

Voting based extreme learning machine

Jiuwen Cao et al.

INFORMATION SCIENCES (2012)

Article Health Care Sciences & Services

A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine

Li-Na Li et al.

JOURNAL OF MEDICAL SYSTEMS (2012)

Review Computer Science, Artificial Intelligence

Automated breast cancer detection and classification using ultrasound images: A survey

H. D. Cheng et al.

PATTERN RECOGNITION (2010)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Computer Science, Artificial Intelligence

A fast and accurate online sequential learning algorithm for feedforward networks

Nan-Ying Liang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)

Article Computer Science, Artificial Intelligence

Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines

YL Huang et al.

NEURAL COMPUTING & APPLICATIONS (2006)

Article Computer Science, Artificial Intelligence

Fully complex extreme learning machine

MB Li et al.

NEUROCOMPUTING (2005)

Article Radiology, Nuclear Medicine & Medical Imaging

Support vector machines in sonography - Application to decision making in the diagnosis of breast cancer

YL Huang et al.

CLINICAL IMAGING (2005)

Review Computer Science, Artificial Intelligence

Computer-aided detection and classification of microcalcifications in mammograms: a survey

HD Cheng et al.

PATTERN RECOGNITION (2003)

Article Radiology, Nuclear Medicine & Medical Imaging

Support vector machines for diagnosis of breast tumors on US images

RF Chang et al.

ACADEMIC RADIOLOGY (2003)