SVM for FT-MIR prostate cancer classification: An alternative to the traditional methods
出版年份 2018 全文链接
标题
SVM for FT-MIR prostate cancer classification: An alternative to the traditional methods
作者
关键词
-
出版物
JOURNAL OF CHEMOMETRICS
Volume -, Issue -, Pages e3075
出版商
Wiley
发表日期
2018-08-24
DOI
10.1002/cem.3075
参考文献
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。- ATR-FTIR spectroscopy with chemometric algorithms of multivariate classification in the discrimination between healthy vs. dengue vs. chikungunya vs. zika clinical samples
- (2018) Marfran C. D. Santos et al. Analytical Methods
- Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood
- (2017) Maria Paraskevaidi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Spectroscopy with computational analysis in virological studies: A decade (2006–2016)
- (2017) Marfran C.D. Santos et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- ATR-FTIR spectroscopy coupled with multivariate analysis techniques for the identification of DENV-3 in different concentrations in blood and serum: a new approach
- (2017) Marfran C. D. Santos et al. RSC Advances
- MIR-biospectroscopy coupled with chemometrics in cancer studies
- (2016) Laurinda F. S. Siqueira et al. ANALYST
- ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer
- (2016) Georgios Theophilou et al. ANALYST
- FTIR microspectroscopy coupled with variable selection methods for the identification of flunitrazepam in necrophagous flies
- (2016) Tainá C. Baia et al. Analytical Methods
- Attenuated total reflection Fourier transform-infrared (ATR-FTIR) spectroscopy as a new technology for discrimination between Cryptococcus neoformans and Cryptococcus gattii
- (2016) Fernanda S. L. Costa et al. Analytical Methods
- Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review
- (2016) Vidya K Sudarshan et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score
- (2016) Jonathan I. Epstein et al. EUROPEAN UROLOGY
- A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines
- (2016) Carlos Alberto de Araújo Padilha et al. KNOWLEDGE-BASED SYSTEMS
- A decade (2004 – 2014) of FTIR prostate cancer spectroscopy studies: An overview of recent advancements
- (2016) Laurinda F.S. Siqueira et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- ATR-FTIR and multivariate analysis as a screening tool for cervical cancer in women from northeast Brazil: a biospectroscopic approach
- (2016) Ana C. O. Neves et al. RSC Advances
- Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system
- (2016) P. Mohapatra et al. Swarm and Evolutionary Computation
- Prostate Cancer Screening: A Brief Tool to Incorporate Patient Preferences in a Clinical Encounter
- (2016) Anita D. Misra-Hebert et al. Frontiers in Oncology
- Fourier-transform-infrared-spectroscopy based spectral-biomarker selection towards optimum diagnostic differentiation of oral leukoplakia and cancer
- (2015) Satarupa Banerjee et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays
- (2015) Sahirzeeshan Ali et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Machine learning approaches to analyze histological images of tissues from radical prostatectomies
- (2015) Arkadiusz Gertych et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Prostate-specific antigen-based prostate cancer screening: Past and future
- (2015) Arnout R Alberts et al. INTERNATIONAL JOURNAL OF UROLOGY
- A fast gene selection method for multi-cancer classification using multiple support vector data description
- (2015) Jin Cao et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A biospectroscopic analysis of human prostate tissue obtained from different time periods points to a trans-generational alteration in spectral phenotype
- (2015) Georgios Theophilou et al. Scientific Reports
- Infrared spectroscopy with multivariate analysis segregates low-grade cervical cytology based on likelihood to regress, remain static or progress
- (2014) Nikhil C. Purandare et al. Analytical Methods
- Principal component analysis
- (2014) Rasmus Bro et al. Analytical Methods
- New advances in the use of infrared absorption spectroscopy for the characterization of heterogeneous catalytic reactions
- (2014) Francisco Zaera CHEMICAL SOCIETY REVIEWS
- Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) spectral discrimination of brain tumour severity from serum samples
- (2014) James R. Hands et al. Journal of Biophotonics
- Current trends in machine-learning methods applied to spectroscopic cancer diagnosis
- (2014) Martina Sattlecker et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- The Politics of Prostate Cancer Screening
- (2014) Samuel D. Kaffenberger et al. UROLOGIC CLINICS OF NORTH AMERICA
- Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis
- (2014) Mohammadreza Khanmohammadi et al. RSC Advances
- Tumor margin identification and prediction of the primary tumor from brain metastases using FTIR imaging and support vector machines
- (2013) Norbert Bergner et al. ANALYST
- Improving the classification accuracy for IR spectroscopic diagnosis of stomach and colon malignancy using non-linear spectral feature extraction methods
- (2013) Sanguk Lee et al. ANALYST
- Optimizing Savitzky–Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy
- (2013) Boris Zimmermann et al. APPLIED SPECTROSCOPY
- Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set
- (2013) Tao Sun et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms
- (2013) Bichen Zheng et al. EXPERT SYSTEMS WITH APPLICATIONS
- Simultaneous data pre-processing and SVM classification model selection based on a parallel genetic algorithm applied to spectroscopic data of olive oils
- (2013) Olivier Devos et al. FOOD CHEMISTRY
- Profiling serologic biomarkers in cirrhotic patients via high-throughput Fourier transform infrared spectroscopy: toward a new diagnostic tool of hepatocellular carcinoma
- (2013) Xiaoqing Zhang et al. Translational Research
- Extended multiplicative signal correction in vibrational spectroscopy, a tutorial
- (2012) Nils Kristian Afseth et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- FTIR microspectroscopy of selected rare diverse sub-variants of carcinoma of the urinary bladder
- (2012) Caryn Hughes et al. Journal of Biophotonics
- A study on the early detection of colon cancer using the methods of wavelet feature extraction and SVM classifications of FTIR
- (2012) Cun-Gui Cheng et al. SPECTROSCOPY-AN INTERNATIONAL JOURNAL
- The successive projections algorithm
- (2012) Sófacles Figueredo Carreiro Soares et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- A modification of the successive projections algorithm for spectral variable selection in the presence of unknown interferents
- (2011) Sófacles Figueredo Carreiro Soares et al. ANALYTICA CHIMICA ACTA
- Segregation of human prostate tissues classified high-risk (UK) versus low-risk (India) for adenocarcinoma using Fourier-transform infrared or Raman microspectroscopy coupled with discriminant analysis
- (2011) Imran I. Patel et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Identifying cancer biomarkers by network-constrained support vector machines
- (2011) Li Chen et al. BMC Systems Biology
- Support vector machine ensembles for breast cancer type prediction from mid-FTIR micro-calcification spectra
- (2011) Martina Sattlecker et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Biospectroscopy to metabolically profile biomolecular structure: a multistage approach linking computational analysis with biomarkers
- (2011) Jemma G. Kelly et al. JOURNAL OF PROTEOME RESEARCH
- Screening for Prostate Cancer
- (2011) Richard M. Hoffman NEW ENGLAND JOURNAL OF MEDICINE
- Current Perspectives on Gleason Grading of Prostate Cancer
- (2011) Kenneth A. Iczkowski et al. Current Urology Reports
- Discrimination of zone-specific spectral signatures in normal human prostate using Raman spectroscopy
- (2010) Imran I. Patel et al. ANALYST
- An investigation of the RWPE prostate derived family of cell lines using FTIR spectroscopy
- (2010) M. J. Baker et al. ANALYST
- Robust classification of low-grade cervical cytology following analysis with ATR-FTIR spectroscopy and subsequent application of self-learning classifier eClass
- (2010) Jemma G. Kelly et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- American Cancer Society Guideline for the Early Detection of Prostate Cancer: Update 2010
- (2010) A. M. D. Wolf et al. CA-A CANCER JOURNAL FOR CLINICIANS
- A novel support vector sampling technique to improve classification accuracy and to identify key genes of leukaemia and prostate cancers
- (2010) Austin H. Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of support vector machine in cancer diagnosis
- (2010) Hui Wang et al. MEDICAL ONCOLOGY
- Screening for Prostate Cancer
- (2009) O. W. Brawley et al. CA-A CANCER JOURNAL FOR CLINICIANS
- FTIR-based spectroscopic analysis in the identification of clinically aggressive prostate cancer
- (2008) M J Baker et al. BRITISH JOURNAL OF CANCER
- Early prostate cancer diagnosis by using artificial neural networks and support vector machines
- (2008) Murat Çınar et al. EXPERT SYSTEMS WITH APPLICATIONS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now