Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 75

Similar articles for PubMed (Select 22425661)

1.

Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.

Hipp J, Monaco J, Kunju LP, Cheng J, Yagi Y, Rodriguez-Canales J, Emmert-Buck MR, Hewitt S, Feldman MD, Tomaszewski JE, Toner M, Tompkins RG, Flotte T, Lucas D, Gilbertson JR, Madabhushi A, Balis U.

Anal Cell Pathol (Amst). 2012;35(4):251-65. doi: 10.3233/ACP-2012-0054.

PMID:
22425661
2.

Prospector: A web-based tool for rapid acquisition of gold standard data for pathology research and image analysis.

Wright AI, Magee DR, Quirke P, Treanor DE.

J Pathol Inform. 2015 May 28;6:21. doi: 10.4103/2153-3539.157785. eCollection 2015.

3.

SIVQ-LCM protocol for the ArcturusXT instrument.

Hipp JD, Cheng J, Hanson JC, Rosenberg AZ, Emmert-Buck MR, Tangrea MA, Balis UJ.

J Vis Exp. 2014 Jul 23;(89). doi: 10.3791/51662.

PMID:
25078867
4.

Automated objective determination of percentage of malignant nuclei for mutation testing.

Viray H, Coulter M, Li K, Lane K, Madan A, Mitchell K, Schalper K, Hoyt C, Rimm DL.

Appl Immunohistochem Mol Morphol. 2014 May-Jun;22(5):363-71. doi: 10.1097/PAI.0b013e318299a1f6.

5.

TMARKER: A free software toolkit for histopathological cell counting and staining estimation.

Schüffler PJ, Fuchs TJ, Ong CS, Wild PJ, Rupp NJ, Buhmann JM.

J Pathol Inform. 2013 Mar 30;4(Suppl):S2. doi: 10.4103/2153-3539.109804. Print 2013.

6.

Formal design methods for reliable computer-aided diagnosis: a review.

Faust O, Acharya UR, Tamura T.

IEEE Rev Biomed Eng. 2012;5:15-28. doi: 10.1109/RBME.2012.2184750. Review.

PMID:
23231986
7.

Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development.

Hipp JA, Hipp JD, Lim M, Sharma G, Smith LB, Hewitt SM, Balis UG.

J Pathol Inform. 2012;3:24. doi: 10.4103/2153-3539.98168. Epub 2012 Jul 12.

8.

Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI.

Niaf E, Rouvière O, Mège-Lechevallier F, Bratan F, Lartizien C.

Phys Med Biol. 2012 Jun 21;57(12):3833-51. doi: 10.1088/0031-9155/57/12/3833. Epub 2012 May 29.

PMID:
22640958
9.

Automated vs. manual pattern recognition of 3D (1)H MRSI data of patients with prostate cancer.

Zechmann CM, Menze BH, Kelm BM, Zamecnik P, Ikinger U, Giesel FL, Thieke C, Delorme S, Hamprecht FA, Bachert P.

Acad Radiol. 2012 Jun;19(6):675-84. doi: 10.1016/j.acra.2012.02.014.

PMID:
22578226
10.

Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis.

Vos PC, Barentsz JO, Karssemeijer N, Huisman HJ.

Phys Med Biol. 2012 Mar 21;57(6):1527-42. doi: 10.1088/0031-9155/57/6/1527. Epub 2012 Mar 6.

PMID:
22391091
11.

Use of radial basis functions in computer-aided diagnosis of prostate cancer.

Marín O, Ruiz D, Pérez I, Soriano A.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6422-5. doi: 10.1109/IEMBS.2011.6091585.

PMID:
22255808
12.

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.

Yu E, Monaco JP, Tomaszewski J, Shih N, Feldman M, Madabhushi A.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3427-30. doi: 10.1109/IEMBS.2011.6090927.

PMID:
22255076
13.

Image microarrays (IMA): Digital pathology's missing tool.

Hipp J, Cheng J, Pantanowitz L, Hewitt S, Yagi Y, Monaco J, Madabhushi A, Rodriguez-Canales J, Hanson J, Roy-Chowdhuri S, Filie AC, Feldman MD, Tomaszewski JE, Shih NN, Brodsky V, Giaccone G, Emmert-Buck MR, Balis UJ.

J Pathol Inform. 2011;2:47. doi: 10.4103/2153-3539.86829. Epub 2011 Oct 29.

14.

A novel computer-aided lung nodule detection system for CT images.

Tan M, Deklerck R, Jansen B, Bister M, Cornelis J.

Med Phys. 2011 Oct;38(10):5630-45. doi: 10.1118/1.3633941.

PMID:
21992380
15.

Automated area calculation of histopathologic features using SIVQ.

Hipp J, Cheng J, Daignault S, Sica J, Dugan MC, Lucas D, Yagi Y, Hewitt S, Balis UJ.

Anal Cell Pathol (Amst). 2011;34(5):265-75. doi: 10.3233/ACP-2011-0025.

PMID:
21988889
16.

Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm.

Hipp J, Smith SC, Cheng J, Tomlins SA, Monaco J, Madabhushi A, Kunju LP, Balis UJ.

Anal Cell Pathol (Amst). 2012;35(1):41-50. doi: 10.3233/ACP-2011-0040.

PMID:
21988838
17.

Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies.

Cheng J, Hipp J, Monaco J, Lucas DR, Madabhushi A, Balis UJ.

J Pathol Inform. 2011;2:37. doi: 10.4103/2153-3539.83752. Epub 2011 Aug 13.

18.

Computer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structures.

Peng Y, Jiang Y, Eisengart L, Healy MA, Straus FH, Yang XJ.

J Pathol Inform. 2011;2:33. doi: 10.4103/2153-3539.83193. Epub 2011 Jul 26.

19.

Integrating evidence and individual preferences using a web-based multi-criteria decision analytic tool: an application to prostate cancer screening.

Cunich M, Salkeld G, Dowie J, Henderson J, Bayram C, Britt H, Howard K.

Patient. 2011;4(3):153-62. doi: 10.2165/11587070-000000000-00000.

PMID:
21766911
20.

Spatially Invariant Vector Quantization: A pattern matching algorithm for multiple classes of image subject matter including pathology.

Hipp JD, Cheng JY, Toner M, Tompkins RG, Balis UJ.

J Pathol Inform. 2011 Feb 26;2:13. doi: 10.4103/2153-3539.77175.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk