4.5 Article

Bi-model processing for early detection of breast tumor in CAD system

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。
Review Mathematics, Interdisciplinary Applications

A REVIEW ON STATE-OF-THE-ART FACE RECOGNITION APPROACHES

Zahid Mahmood et al.

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY (2017)

Article Computer Science, Artificial Intelligence

Investigation of wave atom transform by using the classification of mammograms

Nebi Gedik et al.

APPLIED SOFT COMPUTING (2016)

Article Computer Science, Interdisciplinary Applications

Non-linear polynomial filters for edge enhancement of mammogram lesions

Vikrant Bhateja et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Computer Science, Artificial Intelligence

Breast tumor detection in double views mammography based on extreme learning machine

Zhiqiong Wang et al.

NEURAL COMPUTING & APPLICATIONS (2016)

Proceedings Paper Oncology

Combining Multifractal Analyses of Digital Mammograms and Infrared Thermograms to Assist in Early Breast Cancer Diagnosis

E. Gerasimova-Chechkina et al.

PHYSICS OF CANCER: INTERDISCIPLINARY PROBLEMS AND CLINICAL APPLICATIONS (PC'16) (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Improved Non-Linear Polynomial Filters for Contrast Enhancement of Breast Tumors

Vikrant Bhateja et al.

PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS: VOL 2 (2016)

Article Oncology

International Variation in Female Breast Cancer Incidence and Mortality Rates

Carol E. DeSantis et al.

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2015)

Article Computer Science, Artificial Intelligence

Benign and malignant breast tumors classification based on region growing and CNN segmentation

Rahimeh Rouhi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2015)

Article Computer Science, Artificial Intelligence

Digital image watermarking using partial pivoting lower and upper triangular decomposition into the wavelet domain

Nazeer Muhammad et al.

IET IMAGE PROCESSING (2015)

Article Multidisciplinary Sciences

Blind dding technique using the Fresnelet transformata hi

Nazeer Muhammad et al.

SPRINGERPLUS (2015)

Article Engineering, Biomedical

Mammographic image analysis based on adaptive morphological fuzzy logic CAD system

B. Sridhar et al.

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2015)

Proceedings Paper Optics

Identifying Metastatic Breast Tumors Using Textural Kinetic Features of Contrast Based Habitat in DCE-MRI

Baishali Chaudhury et al.

MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS (2015)

Article Computer Science, Artificial Intelligence

Quantitative analysis of morphological techniques for automatic classification of micro-calcifications in digitized mammograms

C. C. Diaz-Huerta et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

Adaptive k-means clustering algorithm for MR breast image segmentation

Hossam M. Moftah et al.

NEURAL COMPUTING & APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications

A. Bria et al.

MEDICAL IMAGE ANALYSIS (2014)

Article Computer Science, Information Systems

An Automatic Mass Detection System in Mammograms Based on Complex Texture Features

Shen-Chuan Tai et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)

Article Engineering, Biomedical

An ensemble approach to diagnose breast cancer using fully complex-valued relaxation neural network classifier

D. Saraswathi et al.

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2014)

Proceedings Paper Engineering, Electrical & Electronic

Classification of breast lesions presenting as mass and non-mass lesions

Cristina Gallego-Ortiz et al.

MEDICAL IMAGING 2014: COMPUTER-AIDED DIAGNOSIS (2014)

Review Radiology, Nuclear Medicine & Medical Imaging

Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review

Afsaneh Jalalian et al.

CLINICAL IMAGING (2013)

Article Biology

Fast opposite weight learning rules with application in breast cancer diagnosis

Fatemeh Saki et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2013)

Article Computer Science, Artificial Intelligence

A mass classification using spatial diversity approaches in mammography images for false positive reduction

Geraldo Braz Junior et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Computer Science, Artificial Intelligence

Background intensity independent texture features for assessing breast cancer risk in screening mammograms

Xi-Zhao Li et al.

PATTERN RECOGNITION LETTERS (2013)

Proceedings Paper Computer Science, Information Systems

Detection of Microcalcification in Digital Mammograms by Improved-MMGW Segmentation Algorithm

Shrinivas D. Desai et al.

2013 INTERNATIONAL CONFERENCE ON CLOUD & UBIQUITOUS COMPUTING & EMERGING TECHNOLOGIES (CUBE 2013) (2013)

Article Engineering, Biomedical

Design, analysis and classifier evaluation for a CAD tool for breast cancer detection from digital mammograms

Subodh Srivastava et al.

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2013)

Article Computer Science, Interdisciplinary Applications

Technique for preprocessing of digital mammogram

Indra Kanta Maitra et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2012)

Article Engineering, Electrical & Electronic

Texture-based analysis of clustered microcalcifications detected on mammograms

Alain Tiedeu et al.

DIGITAL SIGNAL PROCESSING (2012)

Article Computer Science, Artificial Intelligence

A very high performing system to discriminate tissues in mammograms as benign and malignant

Loris Nanni et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Article Engineering, Biomedical

Building an ensemble system for diagnosing masses in mammograms

Yu Zhang et al.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2012)

Article Computer Science, Interdisciplinary Applications

A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry

Stylianos D. Tzikopoulos et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2011)

Article Imaging Science & Photographic Technology

WAVELET-BASED MULTIFRACTAL FORMALISM TO ASSIST IN DIAGNOSIS IN DIGITIZED MAMMOGRAMS

Pierre Kestener et al.

Image Analysis & Stereology (2011)

Article Engineering, Biomedical

Breast cancer diagnosis in digital mammogram using multiscale curvelet transform

Mohamed Meselhy Eltoukhy et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2010)

Article Radiology, Nuclear Medicine & Medical Imaging

Computer-Aided Identification of the Pectoral Muscle in Digitized Mammograms

K. Santle Camilus et al.

JOURNAL OF DIGITAL IMAGING (2010)

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

Support vector machines combined with feature selection for breast cancer diagnosis

Mehmet Fatih Akay

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Radiology, Nuclear Medicine & Medical Imaging

Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system

DM Catarious et al.

MEDICAL PHYSICS (2004)

Article Computer Science, Artificial Intelligence

Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets

R Bryll et al.

PATTERN RECOGNITION (2003)

Article Radiology, Nuclear Medicine & Medical Imaging

Segmentation of suspicious densities in digital mammograms

GM te Brake et al.

MEDICAL PHYSICS (2001)

Article Computer Science, Artificial Intelligence

Normalized cuts and image segmentation

JB Shi et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)