Histology image analysis for carcinoma detection and grading.
Histology image analysis for carcinoma detection and grading.
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DOI：
10.1016/j.cmpb.2011.12.007
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发表时间：
2012-09
影响因子：
6.1
通讯作者：
Thoma GR
中科院分区：
文献类型：
--
作者：
He L;Long LR;Antani S;Thoma GR
本文介绍了组织病理学领域的图像分析技术的概述，特别是，自动化癌检测和分类的目标。如在其他生物医学成像领域，如放射学，许多计算机辅助诊断（CAD）系统已被实施，以帮助组织病理学家和临床医生在癌症诊断和研究，这已被试图显着减少劳动和主观性的传统人工干预与组织学图像。由于组织学成像的独特特征，包括图像制备技术的可变性、临床解释协议以及图像本身的复杂结构和非常大的尺寸，自动化组织学图像分析的任务通常并不简单。在本文中，我们讨论了这些特点，提供有关的背景资料，幻灯片的制备和解释，并回顾了数字图像处理技术的应用领域的组织学图像分析。特别是，重点是国家的最先进的图像分割方法的特征提取和疾病分类。四个主要的癌症子宫颈，前列腺，乳腺癌和肺癌被选中来说明现有的CAD系统的功能和能力。
This paper presents an overview of the image analysis techniques in the domain of histopathology, specifically, for the objective of automated carcinoma detection and classification. As in other biomedical imaging areas such as radiology, many computer assisted diagnosis (CAD) systems have been implemented to aid histopathologists and clinicians in cancer diagnosis and research, which have been attempted to significantly reduce the labor and subjectivity of traditional manual intervention with histology images. The task of automated histology image analysis is usually not simple due to the unique characteristics of histology imaging, including the variability in image preparation techniques, clinical interpretation protocols, and the complex structures and very large size of the images themselves. In this paper we discuss those characteristics, provide relevant background information about slide preparation and interpretation, and review the application of digital image processing techniques to the field of histology image analysis. In particular, emphasis is given to state-of-the-art image segmentation methods for feature extraction and disease classification. Four major carcinomas of cervix, prostate, breast, and lung are selected to illustrate the functions and capabilities of existing CAD systems.
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DOI：
10.1186/cc2955
发表时间：
2004-10
期刊：
Critical care (London, England)
影响因子：
--
作者：
Bewick V;Cheek L;Ball J
通讯作者：
Ball J
影响因子：
10.6
作者：
Chan, TF;Vese, LA
通讯作者：
Vese, LA
影响因子：
--
作者：
Blum, Andreas;Zalaudek, Iris;Argenziano, Giuseppe
通讯作者：
Argenziano, Giuseppe
DOI：
10.1007/bf00199351
发表时间：
1995-01-01
期刊：
VIRCHOWS ARCHIV-AN INTERNATIONAL JOURNAL OF PATHOLOGY
影响因子：
--
作者：
BRINKHUIS, M;WIJNAENDTS, LCD;MEIJER, CJLM
通讯作者：
MEIJER, CJLM
影响因子：
82.9
作者：
Beer, DG;Kardia, SLR;Hanash, S
通讯作者：
Hanash, S