Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme

[1]  Sergios Theodoridis,et al.  Pattern Recognition, Fourth Edition , 2008 .

[2]  R. Pazdur,et al.  Food and Drug Administration Drug Approval Summary: Temozolomide Plus Radiation Therapy for the Treatment of Newly Diagnosed Glioblastoma Multiforme , 2005, Clinical Cancer Research.

[3]  R Nafe,et al.  Histomorphometry of tumour cell nuclei in astrocytomas using shape analysis, densitometry and topometric analysis , 2005, Neuropathology and applied neurobiology.

[4]  Dimitris Glotsos,et al.  Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models. , 2004, Analytical and quantitative cytology and histology.

[5]  C. Papageorgiou,et al.  Design and implementation of an SVM-based computer classification system for discriminating depressive patients from healthy controls using the P600 component of ERP signals , 2004, Comput. Methods Programs Biomed..

[6]  D Cavouras,et al.  Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[7]  Dimitris Glotsos,et al.  Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure. , 2004, Analytical and quantitative cytology and histology.

[8]  D Cavouras,et al.  Support vector machines based analysis of brain SPECT images for determining cerebral abnormalities in asymptomatic diabetic patients , 2003, Medical informatics and the Internet in medicine.

[9]  R. McKinstry,et al.  Brain neoplasms: epidemiology, diagnosis, and prospects for cost-effective imaging. , 2003, Neuroimaging clinics of North America.

[10]  Reinhold Nafe,et al.  Topometric analysis of diffuse astrocytomas. , 2003, Analytical and quantitative cytology and histology.

[11]  S. Fujimoto,et al.  Differential chemosensitivity in human intracerebral gliomas measured by flow cytometric DNA analysis. , 2002, International journal of molecular medicine.

[12]  H Kalimo,et al.  Grading of diffusely infiltrating astrocytomas by quantitative histopathology, cell proliferation and image cytometric DNA analysis , 2000, Neuropathology and applied neurobiology.

[13]  F. Abdul-Karim,et al.  Interobserver reproducibility among neuropathologists and surgical pathologists in fibrillary astrocytoma grading , 2000, Journal of the Neurological Sciences.

[14]  H. Kolles,et al.  Grading von Astrozytomen und Oligodendrogliomen , 1998, Der Pathologe.

[15]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[16]  C Decaestecker,et al.  Improving Morphology‐Based Malignancy Grading Schemes in Astrocytic Tumors by Means of Computer‐Assisted Techniques , 1998, Brain pathology.

[17]  P H Bartels,et al.  Computer-assisted discrimination of glioblastomas. , 1997, Analytical and quantitative cytology and histology.

[18]  Andrew P. Bradley,et al.  The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..

[19]  D K Pearl,et al.  Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas , 1997, Cancer.

[20]  C Decaestecker,et al.  Nearest-neighbor classification for identification of aggressive versus nonaggressive low-grade astrocytic tumors by means of image cytometry-generated variables. , 1997, Journal of neurosurgery.

[21]  H Kolles,et al.  Data-driven approaches to decision making in automated tumor grading. An example of astrocytoma grading. , 1996, Analytical and quantitative cytology and histology.

[22]  C Decaestecker,et al.  The computer-assisted microscope analysis of Feulgen-stained nuclei linked to a supervised learning algorithm as an aid to prognosis assessment in invasive transitional bladder cell carcinomas. , 1996, Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology.

[23]  William Nick Street,et al.  Cancer diagnosis and prognosis via linear-programming-based machine learning , 1994 .

[24]  P H Bartels,et al.  Morphometrically assisted grading of astrocytomas. , 1994, Analytical and quantitative cytology and histology.

[25]  H Kolles,et al.  Application of minimal spanning trees in glioma grading--a CLIPPER program for the calculation and construction of minimal spanning trees. , 1994, Computer methods and programs in biomedicine.

[26]  B. Scheithauer,et al.  The New WHO Classification of Brain Tumours , 1993, Brain pathology.

[27]  Linda G. Shapiro,et al.  Computer and Robot Vision , 1991 .

[28]  R. Hofmann-Wellenhof,et al.  The influence of staining procedures on the assessment of cell proliferation as defined by the monoclonal antibody Ki-67. , 1990, The American Journal of dermatopathology.

[29]  P. Kelly,et al.  Grading of astrocytomas: A simple and reproducible method , 1988, Cancer.

[30]  R. F. Mabon,et al.  A simplified classification of the gliomas, based on the concept of anaplasia. , 1949, The Surgical clinics of North America.

[31]  A. Atienza,et al.  Shape based local thresholding for binarization of document images , 2012, Pattern Recognit. Lett..

[32]  Nabil Belacel,et al.  Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis , 2001, Artif. Intell. Medicine.

[33]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[34]  J W Bacus,et al.  Comparison of the Papanicolaou and Feulgen staining methods for DNA quantification by image analysis. , 1990, Cytometry.

[35]  D. Specht.  Probabilistic neural networks , 1990, Neural Networks.

[36]  L R Schad,et al.  Numerical grading of astrocytomas. , 1987, Medical informatics = Medecine et informatique.

[37]  K. R. Rao,et al.  Orthogonal Transforms for Digital Signal Processing , 1979, IEEE Transactions on Systems, Man, and Cybernetics.