Literature DB >> 15135570

A survey on histological image analysis-based assessment of three major biological factors influencing radiotherapy: proliferation, hypoxia and vasculature.

Constantinos G Loukas1, Alf Linney.   

Abstract

Image analysis is a rapidly evolving field with growing applications in science and engineering. In cancer research, it has played a key role in advancing techniques of major diagnostic importance, minimising human intervention and providing vital clinical information. Especially in the field of tissue microscopy, the use of computers for the automated analysis of histological sections is becoming increasingly important. This paper presents an overview of various image analysis methodologies and summarises developments in this field, with great emphasis given on the assessment of three major biological factors known to influence the outcome of radiotherapy: proliferation, vasculature and hypoxia. A brief introduction followed by a survey is provided in each of these areas.

Entities:  

Mesh:

Year:  2004        PMID: 15135570     DOI: 10.1016/j.cmpb.2003.07.001

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  9 in total

1.  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

2.  A fast and robust hepatocyte quantification algorithm including vein processing.

Authors:  Tetyana Ivanovska; Andrea Schenk; André Homeyer; Meihong Deng; Uta Dahmen; Olaf Dirsch; Horst K Hahn; Lars Linsen
Journal:  BMC Bioinformatics       Date:  2010-03-10       Impact factor: 3.169

3.  Automated objective scoring of histologically apparent cartilage degeneration using a custom image analysis program.

Authors:  S Farshid Moussavi-Harami; Douglas R Pedersen; James A Martin; Stephen L Hillis; Thomas D Brown
Journal:  J Orthop Res       Date:  2009-04       Impact factor: 3.494

4.  Perfluorooctanoic Acid Exposure Assessment on Common Carp Liver through Image and Ultrastructural Investigation.

Authors:  Maurizio Manera; Bahram Sayyaf Dezfuli; Giuseppe Castaldelli; Joseph A DePasquale; Elisa Anna Fano; Camillo Martino; Luisa Giari
Journal:  Int J Environ Res Public Health       Date:  2019-12-05       Impact factor: 3.390

Review 5.  Breast histopathological image analysis using image processing techniques for diagnostic puposes: A methodological review.

Authors:  R Rashmi; Keerthana Prasad; Chethana Babu K Udupa
Journal:  J Med Syst       Date:  2021-12-03       Impact factor: 4.460

6.  Quantification of heterogeneity observed in medical images.

Authors:  Frank J Brooks; Perry W Grigsby
Journal:  BMC Med Imaging       Date:  2013-03-02       Impact factor: 1.930

7.  Breast cancer characterization based on image classification of tissue sections visualized under low magnification.

Authors:  C Loukas; S Kostopoulos; A Tanoglidi; D Glotsos; C Sfikas; D Cavouras
Journal:  Comput Math Methods Med       Date:  2013-08-31       Impact factor: 2.238

8.  Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features.

Authors:  Rajesh Kumar; Rajeev Srivastava; Subodh Srivastava
Journal:  J Med Eng       Date:  2015-08-23

9.  Quantitative Visualization of Hypoxia and Proliferation Gradients Within Histological Tissue Sections.

Authors:  Mark Zaidi; Fred Fu; Dan Cojocari; Trevor D McKee; Bradly G Wouters
Journal:  Front Bioeng Biotechnol       Date:  2019-12-05
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.