Gene expression extraction in cervical cancer by segmentation of microarray images using a novel fuzzy method
It is necessary to obtain gene expression values to identify gene biomarkers involved in all types of cancers, and microarray data is one of the best data for this purpose. In order to extract gene expression values from microarray images that have different challenges. This article presents a compl...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
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Series: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/21681163.2023.2261555 |
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