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| About 2,390 results Learning invariant features of tumor signatures - IEEE Xplore ...ieeexplore.ieee.org/abstract/document/6235544/ Abstract: We present a novel method for automated learning of features from unlabeled image patches for classification of tumor architecture. .... Quoc V. Le ... Ju Han. Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A. ... Paul T. Spellman ... Alexander Borowsky ... Bahram Parvin. Learning invariant features of tumor signatures - Semantic Scholarhttps://www.semanticscholar.org/.../Learning-invariant-features-of-tumor- Learning invariant features of tumor signatures. Quoc V. Le, Ju Han, Joe W. Gray, Paul T. Spellman, Alexander Borowsky, Bahram Parvin; ISBI; 2012. Learning invariant features of tumor signaturesciteseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.7905 Index Terms — subspace learning, tumor architecture, apoptotic and necrotic ... by Quoc V. Le , Ju Han , Paul Spellman , Er Borowsky , Bahram Parvin ... [PDF] learning invariant features of tumor signature - Stanford Computer ...https://cs.stanford.edu/~quocle/InvariantLearningISBI12.pdf - Cached 1. INTRODUCTION. Our goal is to design and evaluate automated invariant feature de- tection for classification of tumor signatures observed from hema- ..... Baehner, Joe Gray, Paul Spellman, and Bahram Parvin, “Mor- phometric analysis ... 203–213, 2003. [19] Quoc V. Le, Will Zou, Serena Yeung, and Andrew Ng, “ Learn-. Learning invariant features of tumor signature with independent ...bmihub.org/.../learning-invariant-features-tumor-signature-independent- Learning invariant features of tumor signature with independent subspace analysis. Submitted by Ju Han on Thu, 04/07/2016 - 11:22 ... Medical Image Computing and Computer-Assisted Intervention -- ... - Google Books Resulthttps://books.google.com/books?isbn=3642407633 Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato - 2013 - 718 pages - Computers Le, Q., Han, J., Gray, J., Spellman, P., Borowsky, A., Parvin, B.: Learning invariant features from tumor signature. In: International Symposium on Biomedical ... Computational Systems Biology: Chapter 18. Molecular Correlates of ... - Google Books Resulthttps://books.google.com/books?isbn=0128070196 Hang Chang, Gerald V. Fontenay, Cemal Bilgin - 2013 - 548 pages - Medical Anal Quant Cytol Histol. 2003;26(6):321–331. Le Q, Han J, Gray J, Spellman P, Borowsky A, Parvin B. Learning invariant features from tumor signature. In: ISBI. Computational Systems Biology: From Molecular Mechanisms to Disease - Google Books Resulthttps://books.google.com/books?isbn=0124059384 Andres Kriete, Roland Eils - 2013 - 548 pages - Computers 26(6):321–331. Le, Q., Han, J., Gray, J., Spellman, P., Borowsky, A., and Parvin, B . (2012). Learning invariant features from tumor signature. In ISBI, pp. 302–305. classification of tumor histopathology via sparse feature learninghttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850768/ Index Terms: Tumor characterization, whole slide imaging, feature learning, sparse ... The tumor signatures are visualized from hematoxylin and eosin (H&E) ..... Gurcan M, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Bulent Y. ... Chang H, Han J, Borowsky AD, Loss L, Gray JW, Spellman PT, Parvin B. Invariant ... | ||