Literature DB >> 8725778

Image analysis of tissue sections.

S H Ong1, X C Jin, R Sinniah.   

Abstract

The use of computers for the automated image analysis of tissue sections is becoming increasingly important. The paper presents an overview of current methodologies and summarizes developments in this field. A brief introduction followed by a survey is provided in each of these areas: image transformation, image segmentation and classification.

Mesh：

Year:  1996        PMID： 8725778     DOI： 10.1016/0010-4825(96)00004-2

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN： 0010-4825            Impact factor:   4.589


  8 in total

1.  Digital slide and virtual microscopy based routine and telepathology evaluation of routine gastrointestinal biopsy specimens.

Authors:  B Molnar; L Berczi; C Diczhazy; A Tagscherer; S V Varga; B Szende; Z Tulassay
Journal:  J Clin Pathol       Date:  2003-06       Impact factor: 3.411

2.  Histology image analysis for carcinoma detection and grading.

Authors:  Lei He; L Rodney Long; Sameer Antani; George R Thoma
Journal:  Comput Methods Programs Biomed       Date:  2012-03-20       Impact factor: 5.428

3.  Quantitative analysis of synovial membrane inflammation: a comparison between automated and conventional microscopic measurements.

Authors:  G Cunnane; L Bjork; A K Ulfgren; S Lindblad; O FitzGerald; B Bresnihan; U Andersson
Journal:  Ann Rheum Dis       Date:  1999-08       Impact factor: 19.103

4.  Analysis of the glomerular basement membrane in images of renal biopsies using the split-and-merge method: a pilot study.

Authors:  Ilya Kamenetsky; Rangaraj M Rangayyan; Hallgrimur Benediktsson
Journal:  J Digit Imaging       Date:  2009-09-04       Impact factor: 4.056

5.  Segmentation and analysis of the glomerular basement membrane in renal biopsy samples using active contours: a pilot study.

Authors:  Rangaraj M Rangayyan; Ilya Kamenetsky; Hallgrimur Benediktsson
Journal:  J Digit Imaging       Date:  2009-02-19       Impact factor: 4.056

6.  Development and validation of an immune checkpoint-based signature to predict prognosis in nasopharyngeal carcinoma using computational pathology analysis.

Authors:  Ya-Qin Wang; Yu Zhang; Wei Jiang; Yu-Pei Chen; Shuo-Yu Xu; Na Liu; Yin Zhao; Li Li; Yuan Lei; Xiao-Hong Hong; Ye-Lin Liang; Jun-Yan Li; Lu-Lu Zhang; Jing-Ping Yun; Ying Sun; Ying-Qin Li; Jun Ma
Journal:  J Immunother Cancer       Date:  2019-11-13       Impact factor: 13.751

7.  Satellite-like Gold Nanocomposites for Targeted Mass Spectrometry Imaging of Tumor Tissues.

Authors:  Yu-Ting Tseng; Scott G Harroun; Chien-Wei Wu; Ju-Yi Mao; Huan-Tsung Chang; Chih-Ching Huang
Journal:  Nanotheranostics       Date:  2017-03-30

8.  Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group.

Authors:  Torsten O Nielsen; Samuel C Y Leung; David L Rimm; Andrew Dodson; Balazs Acs; Sunil Badve; Carsten Denkert; Matthew J Ellis; Susan Fineberg; Margaret Flowers; Hans H Kreipe; Anne-Vibeke Laenkholm; Hongchao Pan; Frédérique M Penault-Llorca; Mei-Yin Polley; Roberto Salgado; Ian E Smith; Tomoharu Sugie; John M S Bartlett; Lisa M McShane; Mitch Dowsett; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2021-07-01       Impact factor: 13.506
  8 in total

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