메뉴 건너뛰기




Volumn , Issue , 2015, Pages 1168-1173

A new ensemble of features for breast cancer diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DIAGNOSIS; DISCRIMINANT ANALYSIS; DISEASES; FACE RECOGNITION; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; IMAGE RETRIEVAL; MAMMOGRAPHY; MEDICAL APPLICATIONS; MEDICAL IMAGING; MICROELECTRONICS; NEAREST NEIGHBOR SEARCH; SEARCH ENGINES; SUPPORT VECTOR MACHINES; VECTORS; X RAY SCREENS;

EID: 84946136321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MIPRO.2015.7160452     Document Type: Conference Paper
Times cited : (19)

References (33)
  • 2
    • 84902573972 scopus 로고    scopus 로고
    • A new feature extraction framework based on wavelets for breast cancer diagnosis
    • S. Ergin and O. Kilinc, A New Feature Extraction Framework Based on Wavelets for Breast Cancer Diagnosis, Computers in Biology and Medicine, vol.51, pp. 171-182, 2014
    • (2014) Computers in Biology and Medicine , vol.51 , pp. 171-182
    • Ergin, S.1    Kilinc, O.2
  • 3
    • 53049094780 scopus 로고    scopus 로고
    • Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques
    • A. Papadopoulos, D.I. Fotiadis, and L. Costaridou, Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques, Computers in Biology and Medicine, vol.38, pp. 1045-1055, 2008
    • (2008) Computers in Biology and Medicine , vol.38 , pp. 1045-1055
    • Papadopoulos, A.1    Fotiadis, D.I.2    Costaridou, L.3
  • 6
    • 84895419217 scopus 로고    scopus 로고
    • Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm
    • D.C. Pereira, R.P. Ramos, and M.Z. Nascimento, Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm, Computer Methods and Programs in Biomedicine, vol. 114, no.1, pp. 88-101, 2014
    • (2014) Computer Methods and Programs in Biomedicine , vol.114 , Issue.1 , pp. 88-101
    • Pereira, D.C.1    Ramos, R.P.2    Nascimento, M.Z.3
  • 8
    • 84862149828 scopus 로고    scopus 로고
    • Twin support vector machines and subspace learning methods for microcalcification clusters detection
    • X. Zhang and X. Gao, Twin support vector machines and subspace learning methods for microcalcification clusters detection, Engineering Applications of Artificial Intelligence, vol.25, pp. 1062-1072, 2012
    • (2012) Engineering Applications of Artificial Intelligence , vol.25 , pp. 1062-1072
    • Zhang, X.1    Gao, X.2
  • 9
    • 84892613237 scopus 로고    scopus 로고
    • Saliency based mass detection from screening mammograms
    • P. Agrawal, M. Vatsa, and R. Singh, Saliency based mass detection from screening mammograms, Signal Processing, vol. 99, pp. 29-47, 2014
    • (2014) Signal Processing , vol.99 , pp. 29-47
    • Agrawal, P.1    Vatsa, M.2    Singh, R.3
  • 11
    • 40949118900 scopus 로고    scopus 로고
    • Categorical variables, interactions and generalized additive models. Applications in computer-aided diagnosis systems
    • M. J. Lado, C. Cadarso-Suarez, J. Roca-Pardinas, and P. G. Tahoces, Categorical variables, interactions and generalized additive models. Applications in computer-aided diagnosis systems, Computers in Biology and Medicine, vol.38, pp. 475-483, 2008
    • (2008) Computers in Biology and Medicine , vol.38 , pp. 475-483
    • Lado, M.J.1    Cadarso-Suarez, C.2    Roca-Pardinas, J.3    Tahoces, P.G.4
  • 14
    • 84919769255 scopus 로고    scopus 로고
    • Achieving accuracy in early stage tumor identification systems based on image segmentation and 3d structure analysis
    • W. Haider, M. Sharif, and M. Raza, Achieving accuracy in early stage tumor identification systems based on image segmentation and 3d structure analysis, Computer Engineering and Intelligent Systems, vol. 2, no. 6, pp. 96-103, 2011
    • (2011) Computer Engineering and Intelligent Systems , vol.2 , Issue.6 , pp. 96-103
    • Haider, W.1    Sharif, M.2    Raza, M.3
  • 15
    • 84861198466 scopus 로고    scopus 로고
    • Texture extraction: An evaluation of ridgelet, wavelet and co-occurrence based methods applied to mammograms
    • R. P. Ramos, M. Z. do Nascimento, and D. C. Pereira, Texture extraction: an evaluation of ridgelet, wavelet and co-occurrence based methods applied to mammograms, Expert Systems with Applications, vol. 39, pp. 11036-11047, 2012
    • (2012) Expert Systems with Applications , vol.39 , pp. 11036-11047
    • Ramos, R.P.1    Do Nascimento, M.Z.2    Pereira, D.C.3
  • 17
    • 84888628916 scopus 로고    scopus 로고
    • Kernel self-optimization learning for kernel-based feature extraction and recognition
    • J.-B. Li, Y.-H. Wang, S.-C. Chu, and J. F. Roddick, Kernel self-optimization learning for kernel-based feature extraction and recognition, Information Sciences, vol. 257, pp. 70-80, 2014
    • (2014) Information Sciences , vol.257 , pp. 70-80
    • Li, J.-B.1    Wang, Y.-H.2    Chu, S.-C.3    Roddick, J.F.4
  • 18
    • 56449098759 scopus 로고    scopus 로고
    • A multistage neural network aided system for detection of microcalcifications in digitized mammograms
    • N. R. Pal, B. Bhowmick, S. K. Patel, S. Pal, and J. Das, A multistage neural network aided system for detection of microcalcifications in digitized mammograms, Neurocomputing, vol. 71, pp. 2625-2634, 2008
    • (2008) Neurocomputing , vol.71 , pp. 2625-2634
    • Pal, N.R.1    Bhowmick, B.2    Patel, S.K.3    Pal, S.4    Das, J.5
  • 19
    • 79959538622 scopus 로고    scopus 로고
    • Recognizing architectural distortion in mammogram: A multiscale texture modeling approach with GMM
    • S. K. Biswas and D. P. Mukherjee, Recognizing architectural distortion in mammogram: a multiscale texture modeling approach with GMM, IEEE Transactions on Biomedical Engineering, vol. 58, no. 7, pp. 2023-2030, 2011
    • (2011) IEEE Transactions on Biomedical Engineering , vol.58 , Issue.7 , pp. 2023-2030
    • Biswas, S.K.1    Mukherjee, D.P.2
  • 21
    • 79151475545 scopus 로고    scopus 로고
    • Expert system based on neuro-fuzzy rules for diagnosis breast cancer
    • A. Keleş, A. Keleş, and U. Yavuz, Expert system based on neuro-fuzzy rules for diagnosis breast cancer, Expert Systems with Applications, vol.38, pp. 5719-5726, 2011
    • (2011) Expert Systems with Applications , vol.38 , pp. 5719-5726
    • Keleş, A.1    Keleş, A.2    Yavuz, U.3
  • 22
    • 67349156354 scopus 로고    scopus 로고
    • A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
    • B. Verma, P. McLeod, and A. Klevansky, A novel soft cluster neural network for the classification of suspicious areas in digital mammograms, Pattern Recognition, vol.42, pp. 1845-1852, 2009
    • (2009) Pattern Recognition , vol.42 , pp. 1845-1852
    • Verma, B.1    McLeod, P.2    Klevansky, A.3
  • 26
    • 33645653318 scopus 로고    scopus 로고
    • A review of image denoising algorithms, with a new one
    • A. Buades, B. Coll, and J.-M. Morel, A review of image denoising algorithms, with a new one, Multiscale Modelling and Simulation, vol. 4, no. 2, pp. 490-530, 2005
    • (2005) Multiscale Modelling and Simulation , vol.4 , Issue.2 , pp. 490-530
    • Buades, A.1    Coll, B.2    Morel, J.-M.3
  • 27
    • 84898491362 scopus 로고    scopus 로고
    • Texture classification using a linear configuration model based descriptor
    • Y. Guo, G. Zhao, and M. Pietkainen, Texture classification using a linear configuration model based descriptor, British Machine Vision Association, vol. 119, pp. 1-10, 2011
    • (2011) British Machine Vision Association , vol.119 , pp. 1-10
    • Guo, Y.1    Zhao, G.2    Pietkainen, M.3
  • 28
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R. A. Fisher, The use of multiple measurements in taxonomic problems, Annals of Eugenics, vol. 7, no. 2, pp. 179-188, 1936
    • (1936) Annals of Eugenics , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.A.1
  • 29
    • 0032594951 scopus 로고    scopus 로고
    • Support vector machines for histogram-based image classification
    • O. Chapelle, P. Haffner, and V. N. Vapnik, Support vector machines for histogram-based image classification, IEEE Transaction on Neural Networks, vol. 10, no. 5, pp. 1055-1064, 1999
    • (1999) IEEE Transaction on Neural Networks , vol.10 , Issue.5 , pp. 1055-1064
    • Chapelle, O.1    Haffner, P.2    Vapnik, V.N.3
  • 30
    • 84919838052 scopus 로고    scopus 로고
    • A new classification scheme of plastic wastes based upon recycling labels
    • K. Ozkan, S. Ergin, Ş. Işik, and ̄. Işikli, A new classification scheme of plastic wastes based upon recycling labels, Waste Management, vol. 35, pp. 29-35, 2015
    • (2015) Waste Management , vol.35 , pp. 29-35
    • Ozkan, K.1    Ergin, S.2    Işik, S.3    Işikli, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.