Literature DB >> 15931803

Imaging system for visualization and numerical analysis of cancer at stomach and skin tissues.

Sadik Kara1, Mustafa Okandan, Fulya Sener, Mustafa Yildirim.   

Abstract

Digital imaging of cancerous cells is instrumental not only in determining the characteristic of the cancer but also monitoring the progress of the disease in the follow up of the patient and adapting the treatment, accordingly. Therefore, we have developed an imaging system to display and layout the characteristics of normal and cancerous cells in an automated way. Image processing techniques are performed on the digitized images of stomach and skin tissues, in order to derive the number of cells, area of an individual cell, and average area of the cells in a certain size of an image window.

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Year:  2005        PMID: 15931803     DOI: 10.1007/s10916-005-3005-7

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  7 in total

Review 1.  Cell imaging and morphology: application to studies of inherited purine metabolic disorders.

Authors:  G P Connolly
Journal:  Pharmacol Ther       Date:  2001 May-Jun       Impact factor: 12.310

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Authors:  R Rizzuto; W Carrington; R A Tuft
Journal:  Trends Cell Biol       Date:  1998-07       Impact factor: 20.808

Review 3.  Trends in biomarker research for cancer detection.

Authors:  P R Srinivas; B S Kramer; S Srivastava
Journal:  Lancet Oncol       Date:  2001-11       Impact factor: 41.316

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Authors:  S W Chan; K S Leung; W S Wong
Journal:  Artif Intell Med       Date:  1996-02       Impact factor: 5.326

5.  Morphological feature extraction for the classification of digital images of cancerous tissues.

Authors:  J P Thiran; B Macq
Journal:  IEEE Trans Biomed Eng       Date:  1996-10       Impact factor: 4.538

Review 6.  Cancer cell cycle control.

Authors:  J O Funk
Journal:  Anticancer Res       Date:  1999 Nov-Dec       Impact factor: 2.480

Review 7.  Neuropeptides as growth factors for normal and cancerous cells.

Authors:  Enrique Rozengurt
Journal:  Trends Endocrinol Metab       Date:  2002-04       Impact factor: 12.015

  7 in total
  1 in total

1.  An advanced image analysis tool for the quantification and characterization of breast cancer in microscopy images.

Authors:  Theodosios Goudas; Ilias Maglogiannis
Journal:  J Med Syst       Date:  2015-02-14       Impact factor: 4.460

  1 in total

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