Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology
-
By A Mystery Man Writer
-
-
4.6(356)
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2F1746-1596-6-S1-S21/MediaObjects/13000_2011_Article_391_Fig2_HTML.jpg)
Product Description
Background Fluorescence in situ hybridization (FISH) is very accurate method for measuring HER2 gene copies, as a sign of potential breast cancer. This method requires small tissue samples, and has a high sensitivity to detect abnormalities from a histological section. By using multiple colors, this method allows the detection of multiple targets simultaneously. The target parts in the cells become visible as colored dots. The HER-2 probes are visible as orange stained spots under a fluorescent microscope while probes for centromere 17 (CEP-17), the chromosome on which the gene HER-2/neu is located, are visible as green spots. Methods The conventional analysis involves the scoring of the ratio of HER-2/neu over CEP 17 dots within each cell nucleus and then averaging the scores for a number of 60 cells. A ratio of 2.0 of HER-2/neu to CEP 17 copy number denotes amplification. Several methods have been proposed for the detection and automated evaluation (dot counting) of FISH signals. In this paper the combined method based on the mathematical morphology (MM) and inverse multifractal (IMF) analysis is suggested. Similar method was applied recently in detection of microcalcifications in digital mammograms, and was very successful. Results The combined MM using top-hat and bottom-hat filters, and the IMF method was applied to FISH images from Molecular Biology Lab, Department of Pathology, Wielkoposka Cancer Center, Poznan. Initial results indicate that this method can be applied to FISH images for the evaluation of HER2/neu status. Conclusions Mathematical morphology and multifractal approach are used for colored dot detection and counting in FISH images. Initial results derived on clinical cases are promising. Note that the overlapping of colored dots, particularly red/orange dots, needs additional improvements in post-processing.
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://www.researchgate.net/publication/41465589/figure/fig2/AS:277464292052992@1443164050130/Mammogram-mdb253pgm-Morphology-segmentation-a-Morphology-transformed-image-C3.png)
Mammogram mdb253.pgm. Morphology segmentation: ( a ) Morphology
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fsrep46732/MediaObjects/41598_2017_Article_BFsrep46732_Fig1_HTML.jpg)
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://ars.els-cdn.com/content/image/1-s2.0-S1040842820303103-gr6.jpg)
Breast cancer, screening and diagnostic tools: All you need to know - ScienceDirect
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://pub.mdpi-res.com/mathematics/mathematics-11-01429/article_deploy/html/images/mathematics-11-01429-g004.png?1678934118)
Mathematics, Free Full-Text
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://pubs.acs.org/cms/10.1021/acs.analchem.1c05238/asset/images/large/ac1c05238_0003.jpeg)
On the Spot' Digital Pathology of Breast Cancer Based on Single-Cell Mass Spectrometry Imaging
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41586-021-04278-5/MediaObjects/41586_2021_4278_Fig1_HTML.png)
Multi-omic machine learning predictor of breast cancer therapy response
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-022-12614-6/MediaObjects/41598_2022_12614_Fig3_HTML.png)
Development of an intraoperative breast cancer margin assessment method using quantitative fluorescence measurements
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://pubs.acs.org/cms/10.1021/acssensors.2c00259/asset/images/large/se2c00259_0008.jpeg)
Fluorescence analysis of circulating exosomes for breast cancer diagnosis using a sensor array and deep learning
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://www.researchgate.net/profile/Aida-Laurinaviciene/publication/317190754/figure/fig2/AS:1086488578129920@1636050471643/Distribution-of-tumors-with-regard-to-genetic-heterogeneity-and-amplification-guidelines_Q320.jpg)
PDF) Automated Image Analysis of HER2 Fluorescence In Situ Hybridization to Refine Definitions of Genetic Heterogeneity in Breast Cancer Tissue
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://www.mdpi.com/sensors/sensors-17-01572/article_deploy/html/images/sensors-17-01572-g001.png)
Sensors, Free Full-Text
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-021-96531-0/MediaObjects/41598_2021_96531_Fig5_HTML.jpg)
Real-time cancer diagnosis of breast cancer using fluorescence lifetime endoscopy based on the pH
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://www.mdpi.com/mathematics/mathematics-11-01429/article_deploy/html/images/mathematics-11-01429-g014.png)
Mathematics, Free Full-Text
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://www.mdpi.com/cancers/cancers-14-03442/article_deploy/html/images/cancers-14-03442-g003-550.jpg)
Cancers, Free Full-Text
![Breast cancer evaluation by fluorescent dot detection using combined mathematical morphology and multifractal techniques, Diagnostic Pathology](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs42256-021-00303-4/MediaObjects/42256_2021_303_Fig1_HTML.png)