Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit

[1]  Rodney A. Kennedy,et al.  Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images , 2010, Comput. Methods Programs Biomed..

[2]  P. Casali,et al.  Do rare cancers deserve specific strategies for cancer research? , 2010, The Lancet. Oncology.

[3]  Rajasvaran Logeswaran,et al.  Cholangiocarcinoma—An Automated Preliminary Detection System Using MLP , 2009, Journal of Medical Systems.

[4]  Joel H. Saltz,et al.  Stroma classification for neuroblastoma on graphics processors , 2009, Int. J. Data Min. Bioinform..

[5]  C. Fletcher,et al.  Diagnostic histopathology of tumors , 2009 .

[6]  Charles Duyckaerts,et al.  The 2007 WHO classification of tumors of the central nervous system – what has changed? , 2008, Current opinion in neurology.

[7]  Michel Barlaud,et al.  Fast k nearest neighbor search using GPU , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[8]  Anthony Dixon,et al.  Rare skin cancers in general practice. , 2007, Australian family physician.

[9]  D. Azria,et al.  Facteurs pronostiques et prise en charge des tumeurs rares , 2006 .

[10]  F. Cowie Treatment of rare cancers: gastrointestinal stromal tumours. , 2006, British journal of hospital medicine.

[11]  W. Crown,et al.  Utilization and Cost of Health Care Services Associated with Primary Malignant Brain Tumors in the United States , 2006, Journal of Neuro-Oncology.

[12]  Jie Yang,et al.  Degree prediction of malignancy in brain glioma using support vector machines , 2006, Comput. Biol. Medicine.

[13]  Frédéric Maire,et al.  Implementation of Kernel Methods on the GPU , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

[14]  Mark R Gilbert,et al.  Treatment of astrocytomas , 2005, Current opinion in neurology.

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

[16]  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.

[17]  Keechul Jung,et al.  GPU implementation of neural networks , 2004, Pattern Recognit..

[18]  Geoffrey J McLachlan,et al.  Selection bias in gene extraction on the basis of microarray gene-expression data , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[19]  P Ravazoula,et al.  A computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrence , 2002, Medical informatics and the Internet in medicine.

[20]  D. Troxel,et al.  Diagnostic Errors in Surgical Pathology Uncovered by a Review of Malpractice Claims , 2000, International journal of surgical pathology.

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

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

[23]  Dorin Comaniciu,et al.  Decision support system for multiuser remote microscopy in telepathology , 1999, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365).

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

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

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

[27]  Jones Pf,et al.  Errors by locums , 1996 .

[28]  A D Ramsay,et al.  Histopathology departments already audit diagnostic errors , 1996, BMJ.

[29]  J. Disario,et al.  Clarification of published data , 1995 .

[30]  A. Vernava,et al.  Rare anal canal cancers in the U.S. veteran: patterns of disease and results of treatment. , 1995, The American surgeon.

[31]  M. Kendrick,et al.  Colorectal cancers of rare histologic types compared with adenocarcinomas , 1994, Diseases of the colon and rectum.

[32]  P. Lachenbruch An almost unbiased method of obtaining confidence intervals for the probability of misclassification in discriminant analysis. , 1967, Biometrics.

[33]  Rudy J. Lapeer,et al.  An optimised radial basis function algorithm for fast non-rigid registration of medical images , 2010, Comput. Biol. Medicine.

[34]  Klaus Mueller,et al.  IOP PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY , 2007 .

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

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

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