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Items: 1 to 20 of 96

1.

Computer-aided Prognosis of Neuroblastoma on Whole-slide Images: Classification of Stromal Development.

Sertel O, Kong J, Shimada H, Catalyurek UV, Saltz JH, Gurcan MN.

Pattern Recognit. 2009 Jun;42(6):1093-1103.

2.

Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation.

Kong J, Sertel O, Shimada H, Boyer KL, Saltz JH, Gurcan MN.

Pattern Recognit. 2009 Jun;42(6):1080-1092. doi: 10.1016/j.patcog.2008.10.035.

3.

Computer-aided prognosis of neuroblastoma: detection of mitosis and karyorrhexis cells in digitized histological images.

Sertel O, Catalyurek UV, Shimada H, Gurcan MN.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:1433-6. doi: 10.1109/IEMBS.2009.5332910.

PMID:
19963746
4.
5.

The International Neuroblastoma Pathology Classification (the Shimada system).

Shimada H, Ambros IM, Dehner LP, Hata J, Joshi VV, Roald B, Stram DO, Gerbing RB, Lukens JN, Matthay KK, Castleberry RP.

Cancer. 1999 Jul 15;86(2):364-72.

PMID:
10421273
6.

Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides.

Jørgensen AS, Rasmussen AM, Andersen NKM, Andersen SK, Emborg J, Røge R, Østergaard LR.

Cytometry A. 2017 Jul 20. doi: 10.1002/cyto.a.23175. [Epub ahead of print]

PMID:
28727286
7.

Computerized pathological image analysis for neuroblastoma prognosis.

Gurcan MN, Kong J, Sertel O, Cambazoglu BB, Saltz J, Catalyurek U.

AMIA Annu Symp Proc. 2007 Oct 11:304-8.

8.

Terminology and morphologic criteria of neuroblastic tumors: recommendations by the International Neuroblastoma Pathology Committee.

Shimada H, Ambros IM, Dehner LP, Hata J, Joshi VV, Roald B.

Cancer. 1999 Jul 15;86(2):349-63.

PMID:
10421272
9.

A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.

Doyle S, Feldman M, Tomaszewski J, Madabhushi A.

IEEE Trans Biomed Eng. 2012 May;59(5):1205-18. doi: 10.1109/TBME.2010.2053540. Epub 2010 Jun 21.

PMID:
20570758
10.

International neuroblastoma pathology classification for prognostic evaluation of patients with peripheral neuroblastic tumors: a report from the Children's Cancer Group.

Shimada H, Umehara S, Monobe Y, Hachitanda Y, Nakagawa A, Goto S, Gerbing RB, Stram DO, Lukens JN, Matthay KK.

Cancer. 2001 Nov 1;92(9):2451-61.

PMID:
11745303
11.

Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.

Li F, Zhao C, Xia Z, Wang Y, Zhou X, Li GZ.

BMC Complement Altern Med. 2012 Aug 16;12:127. doi: 10.1186/1472-6882-12-127.

12.

Identification of tumor epithelium and stroma in tissue microarrays using texture analysis.

Linder N, Konsti J, Turkki R, Rahtu E, Lundin M, Nordling S, Haglund C, Ahonen T, Pietikäinen M, Lundin J.

Diagn Pathol. 2012 Mar 2;7:22. doi: 10.1186/1746-1596-7-22.

13.

Metastasis detection from whole slide images using local features and random forests.

Valkonen M, Kartasalo K, Liimatainen K, Nykter M, Latonen L, Ruusuvuori P.

Cytometry A. 2017 Jun;91(6):555-565. doi: 10.1002/cyto.a.23089. Epub 2017 Apr 20.

PMID:
28426134
14.

A boosting cascade for automated detection of prostate cancer from digitized histology.

Doyle S, Madabhushi A, Feldman M, Tomaszeweski J.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):504-11.

PMID:
17354810
15.

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.

Sharma H, Zerbe N, Klempert I, Hellwich O, Hufnagl P.

Comput Med Imaging Graph. 2017 Jun 16. pii: S0895-6111(17)30050-2. doi: 10.1016/j.compmedimag.2017.06.001. [Epub ahead of print]

PMID:
28676295
16.

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images.

Ehteshami Bejnordi B, Balkenhol M, Litjens G, Holland R, Bult P, Karssemeijer N, van der Laak JA.

IEEE Trans Med Imaging. 2016 Sep;35(9):2141-2150. doi: 10.1109/TMI.2016.2550620. Epub 2016 Apr 5.

PMID:
27076354
17.

Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction.

Lee MC, Boroczky L, Sungur-Stasik K, Cann AD, Borczuk AC, Kawut SM, Powell CA.

Artif Intell Med. 2010 Sep;50(1):43-53. doi: 10.1016/j.artmed.2010.04.011. Epub 2010 May 31.

PMID:
20570118
18.

Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems.

Acharya UR, Vinitha Sree S, Krishnan MM, Molinari F, Garberoglio R, Suri JS.

Ultrasonics. 2012 Apr;52(4):508-20. doi: 10.1016/j.ultras.2011.11.003. Epub 2011 Nov 25.

PMID:
22154208
19.

Automated region of interest retrieval and classification using spectral analysis.

Oger M, Belhomme P, Klossa J, Michels JJ, Elmoataz A.

Diagn Pathol. 2008 Jul 15;3 Suppl 1:S17. doi: 10.1186/1746-1596-3-S1-S17.

20.

Correlation of modified Shimada classification with MYCN and 1p36 status detected by fluorescence in situ hybridization in neuroblastoma.

Altungoz O, Aygun N, Tumer S, Ozer E, Olgun N, Sakizli M.

Cancer Genet Cytogenet. 2007 Jan 15;172(2):113-9.

PMID:
17213019

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