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Items: 1 to 20 of 134

1.

Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery.

Chaddad A, Desrosiers C, Bouridane A, Toews M, Hassan L, Tanougast C.

PLoS One. 2016 Feb 22;11(2):e0149893. doi: 10.1371/journal.pone.0149893. eCollection 2016.

2.

Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer.

Chaddad A, Tanougast C.

Anal Cell Pathol (Amst). 2017;2017:8428102. doi: 10.1155/2017/8428102. Epub 2017 Jan 17.

3.

Radiomics Evaluation of Histological Heterogeneity Using Multiscale Textures Derived From 3D Wavelet Transformation of Multispectral Images.

Chaddad A, Daniel P, Niazi T.

Front Oncol. 2018 Apr 4;8:96. doi: 10.3389/fonc.2018.00096. eCollection 2018.

4.

Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network.

Haj-Hassan H, Chaddad A, Harkouss Y, Desrosiers C, Toews M, Tanougast C.

J Pathol Inform. 2017 Feb 28;8:1. doi: 10.4103/jpi.jpi_47_16. eCollection 2017.

5.

Texture analysis for colorectal tumour biopsies using multispectral imagery.

Peyret R, Bouridane A, Al-Maadeed SA, Kunhoth S, Khelifi F.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:7218-21. doi: 10.1109/EMBC.2015.7320057.

PMID:
26737957
6.

Performance of topological texture features to classify fibrotic interstitial lung disease patterns.

Huber MB, Nagarajan MB, Leinsinger G, Eibel R, Ray LA, Wismüller A.

Med Phys. 2011 Apr;38(4):2035-44.

PMID:
21626936
7.
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9.

Texture feature extraction based on wavelet transform and gray-level co-occurrence matrices applied to osteosarcoma diagnosis.

Hu S, Xu C, Guan W, Tang Y, Liu Y.

Biomed Mater Eng. 2014;24(1):129-43. doi: 10.3233/BME-130793.

PMID:
24211892
10.

Texture analysis of multiple sclerosis: a comparative study.

Zhang J, Tong L, Wang L, Li N.

Magn Reson Imaging. 2008 Oct;26(8):1160-6. doi: 10.1016/j.mri.2008.01.016. Epub 2008 May 29.

PMID:
18513908
11.

Quantitative evaluation of vocal-fold mucosal irregularities using GLCM-based texture analysis.

Song CI, Ryu CH, Choi SH, Roh JL, Nam SY, Kim SY.

Laryngoscope. 2013 Nov;123(11):E45-50. doi: 10.1002/lary.24151. Epub 2013 May 17.

PMID:
23686645
12.

Haralick's texture features for the prediction of response to therapy in colorectal cancer: a preliminary study.

Caruso D, Zerunian M, Ciolina M, de Santis D, Rengo M, Soomro MH, Giunta G, Conforto S, Schmid M, Neri E, Laghi A.

Radiol Med. 2018 Mar;123(3):161-167. doi: 10.1007/s11547-017-0833-8. Epub 2017 Nov 8.

PMID:
29119525
13.

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.

14.

Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?

Zhang X, Gao X, Liu BJ, Ma K, Yan W, Liling L, Yuhong H, Fujita H.

Comput Med Imaging Graph. 2015 Dec;46 Pt 2:227-36. doi: 10.1016/j.compmedimag.2015.09.003. Epub 2015 Sep 18.

PMID:
26455963
15.

Thermography based breast cancer detection using texture features and minimum variance quantization.

Milosevic M, Jankovic D, Peulic A.

EXCLI J. 2014 Nov 4;13:1204-15. eCollection 2014.

16.

Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis.

Min-Chun Yang, Woo Kyung Moon, Wang YC, Min Sun Bae, Chiun-Sheng Huang, Jeon-Hor Chen, Ruey-Feng Chang.

IEEE Trans Med Imaging. 2013 Dec;32(12):2262-73. doi: 10.1109/TMI.2013.2279938. Epub 2013 Aug 29.

PMID:
24001985
17.

Dominant local binary patterns for texture classification.

Liao S, Law MW, Chung AC.

IEEE Trans Image Process. 2009 May;18(5):1107-18. doi: 10.1109/TIP.2009.2015682.

PMID:
19342342
18.

Combined texture feature analysis of segmentation and classification of benign and malignant tumour CT slices.

Padma A, Sukanesh R.

J Med Eng Technol. 2013 Jan;37(1):1-9. doi: 10.3109/03091902.2012.712199. Epub 2012 Oct 24.

PMID:
23094909
19.

Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.

Zheng Y, Keller BM, Ray S, Wang Y, Conant EF, Gee JC, Kontos D.

Med Phys. 2015 Jul;42(7):4149-60. doi: 10.1118/1.4921996.

20.

Three-dimensional texture analysis of renal cell carcinoma cell nuclei for computerized automatic grading.

Kim TY, Choi HJ, Hwang HG, Choi HK.

J Med Syst. 2010 Aug;34(4):709-16. doi: 10.1007/s10916-009-9285-6. Epub 2009 Apr 8.

PMID:
20703926

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