Open Access
Fish Image Analysis System for Breast Cancer Studies
Zenonas Theodosiou,Georgia Karayannopoulou,F. Raimondo,M.-E. Garefalaki,Ioannis Pitas,Kleoniki Lyroudia +5 more
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TLDR
An integrated FISH image analysis system is developed to automate the classification of FISH images from breast carcinomas to avoid interobserver variations in the assessment of HER2/neu status.Abstract:
HER2/neu gene amplification is being evaluated by fluorescent in situ hybridization (FISH). In order to avoid interobserver variations in the assessment of HER2/neu status, an integrated FISH image analysis system is developed to automate the classification of FISH images from breast carcinomas. Using a two-stage algorithm, for nuclei and dot detection, and combining results from multiple images taken from a slice for overall case classification, FISH signals ratio per cell nucleus were measured and cases were classified as positive or negative. The system consists of functions for red spot detection, green spot detection, nuclei segmentation and FISH signal ratio. Therefore, it provides the capability to manually correct the resulted images after the analysis.read more
Citations
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Journal ArticleDOI
Dots Detection in HER2 FISH Images Based on Alternative Color Spaces
TL;DR: An algorithm for detection of HER2 gene and chromosome centromere - CEN17 signals in FISH images using transformations into different color spaces based on the color spaces transformation is presented.
Proceedings ArticleDOI
A multi-level thresholding based segmentation method for microscopic fluorescence in situ hybridization (FISH) images
Kaan Aykut Kabakci,Abdulkerim Capar,B. Ugur Toreyin,Mertkan Akkoc,Ozan Borazan,İlknur Türkmen,Lutfiye Durak Ata +6 more
TL;DR: A new multi-level thresholding based FISH signal segmentation method is proposed for images produced by FISH technique and it is observed that the detection rate of the proposed method on 49 FISH images taken from real patients, are higher than other widely used techniques in the literature.
Proceedings ArticleDOI
A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images
TL;DR: A robust approach to locate HER2 and CEN17 signals based on the image standardization of varied FISH images is proposed to use offset operation to reduce the fluorescence scattering, and to use exposure ratio map estimation and brightness transformation to enhance the weak fluorescence.
References
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TL;DR: The role of HER-2/neu testing for the prediction of response to trastuzumab therapy in breast cancer is presented as well as its potential impact on responses to standard and newer hormonal therapies, cytotoxic chemotherapy, and radiation.
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FISH and chips: automation of fluorescent dot counting in interphase cell nuclei.
TL;DR: A completely automated fluorescence microscope system that can examine 500 cells in approximately 15 min to determine the number of labeled chromosomes in each cell nucleus, and its accuracies are comparable to panels of human experts (manual).