Image mining for investigative pathology using optimized feature extraction and data fusion
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Wei He | Peter Meer | David J. Foran | Wenjin Chen | Bogdan Georgescu | Lauri A. Goodell | W. He | P. Meer | D. Foran | B. Georgescu | Wenjin Chen | L. Goodell
[1] N. Chiorazzi,et al. mechanisms of disease Chronic Lymphocytic Leukemia , 2010 .
[2] Model based object recognition by robust information fusion , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[3] Alex Pentland,et al. Photobook: Content-based manipulation of image databases , 1996, International Journal of Computer Vision.
[4] John R. Josephson,et al. RED: A red-cell antibody identification expert module , 1985, Journal of Medical Systems.
[5] B. S. Manjunath,et al. Texture-based pattern retrieval from image databases , 2004, Multimedia Tools and Applications.
[6] J. Berman. Concept-match medical data scrubbing. How pathology text can be used in research. , 2003, Archives of pathology & laboratory medicine.
[7] Patrice Degoulet,et al. A customizable similarity measure between histological cases , 2002, AMIA.
[8] J. Suri,et al. Advanced algorithmic approaches to medical image segmentation: state-of-the-art application in cardiology, neurology, mammography and pathology , 2001 .
[9] Dorin Comaniciu,et al. Cell image segmentation for diagnostic pathology , 2001 .
[10] P. Bartels,et al. Karyometry of secretory cell nuclei in high‐grade PIN lesions * , 2001, The Prostate.
[11] D. Grobbee,et al. Neural network‐based screening (NNS) in cervical cytology: No need for the light microscope? , 2001, Diagnostic cytopathology.
[12] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[13] F. Schnorrenberg,et al. Content-based retrieval of breast cancer biopsy slides. , 2000, Technology and health care : official journal of the European Society for Engineering and Medicine.
[14] Dorin Comaniciu,et al. Computer-assisted discrimination among malignant lymphomas and leukemia using immunophenotyping, intelligent image repositories, and telemicroscopy , 2000, IEEE Transactions on Information Technology in Biomedicine.
[15] James Ze Wang,et al. IRM: integrated region matching for image retrieval , 2000, ACM Multimedia.
[16] M. Cenci,et al. PAPNET-assisted primary screening of conventional cervical smears. , 2000, Anticancer research.
[17] Perry L. Miller,et al. Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction , 2000, J. Am. Medical Informatics Assoc..
[18] Patrice Degoulet,et al. Towards content-based image retrieval in a HIS-integrated PACS , 2000, AMIA.
[19] James Zijun Wang,et al. Pathfinder: multiresolution region-based searching of pathology images using IRM , 2000, AMIA.
[20] M. Köppen,et al. The Curse of Dimensionality , 2010 .
[21] R. Kiss,et al. Computer-assisted analysis of epiluminescence microscopy images of pigmented skin lesions. , 1999, Cytometry.
[22] Dorin Comaniciu,et al. Image-guided decision support system for pathology , 1999, Machine Vision and Applications.
[23] Jitendra Malik,et al. Blobworld: A System for Region-Based Image Indexing and Retrieval , 1999, VISUAL.
[24] John R. Gilbertson,et al. Evaluation of prostate tumor grades by content-based image retrieval , 1999, Other Conferences.
[25] Ramesh C. Jain,et al. Pattern Recognition Methods in Image and Video Databases: Past, Present and Future , 1998, SSPR/SPR.
[26] B. Nathwani,et al. Evaluation of an expert system on lymph node pathology. , 1997, Human pathology.
[27] Bruce A. Draper,et al. FOCUS: Searching for multi-colored objects in a diverse image database , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] James Ze Wang,et al. Wavelet-based image indexing techniques with partial sketch retrieval capability , 1997, Proceedings of ADL '97 Forum on Research and Technology. Advances in Digital Libraries.
[29] M. Seto,et al. Clinicopathologic study of PRAD1/cyclin D1 overexpressing lymphoma with special reference to mantle cell lymphoma. A distinct molecular pathologic entity. , 1996, The American journal of surgical pathology.
[30] J. Garcia-conde,et al. Mantle cell lymphoma: a lymphoproliferative disorder associated with aberrant function of the cell cycle. , 1996, Leukemia.
[31] G. Ott,et al. Differentiation of low grade non-Hodgkin's lymphoma by digital image processing. , 1996, Analytical and quantitative cytology and histology.
[32] M. N. Kilo,et al. The utility of flow cytometric immunophenotypic analysis in the distinction of small lymphocytic lymphoma/chronic lymphocytic leukemia from mantle cell lymphoma. , 1996, American journal of clinical pathology.
[33] H. Müller-Hermelink,et al. Image analysis detects lineage-specific morphologic markers in leukemic blast cells. , 1996, American journal of clinical pathology.
[34] G. Vadlamudi,et al. Leukemic phase of mantle cell lymphoma two case reports and review of the literature. , 1996, Archives of pathology & laboratory medicine.
[35] Dragutin Petkovic,et al. Query by Image and Video Content: The QBIC System , 1995, Computer.
[36] R. Warnke,et al. A revised European-American classification of lymphoid neoplasms proposed by the International Lymphoma Study Group. A summary version. , 1995, American journal of clinical pathology.
[37] Myron Flickner,et al. Query by Image and Video Content , 1995 .
[38] K. Wakimoto,et al. Efficient and Effective Querying by Image Content , 1994 .
[39] William H. Press,et al. The Art of Scientific Computing Second Edition , 1998 .
[40] Anil K. Jain,et al. Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..
[41] C. Geisler,et al. Prognostic importance of flow cytometric immunophenotyping of 540 consecutive patients with B-cell chronic lymphocytic leukemia. , 1991, Blood.
[42] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[43] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[44] H. Harms,et al. Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics. , 1986, Cytometry.
[45] A. H. Levy,et al. Computers and videodiscs in pathology education: ECLIPS as an example of one approach. , 1986, Human pathology.
[46] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .
[47] C. Coltman,et al. Reproducibility of the French‐American‐British classification of acute Leukemia: The southwest oncology group experience , 1985, American journal of hematology.
[48] G. Wyszecki,et al. Color Science Concepts and Methods , 1982 .
[49] H. Gralnick,et al. Proposals for the Classification of the Acute Leukaemias French‐American‐British (FAB) Co‐operative Group , 1976, British journal of haematology.
[50] Anthony P. Lucido. Software Systems for Computer Graphics , 1976, Computer.
[51] David G. Stork,et al. Pattern Classification , 1973 .
[52] W D Wright,et al. Color Science, Concepts and Methods. Quantitative Data and Formulas , 1967 .
[53] Richard Bellman,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.