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...
Saved in:
Main Authors: | Nayyer Mostaghim Bakhshayesh, Mousa Shamsi, Faegheh Golabi |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
|
Series: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/21681163.2023.2261555 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
COMPUTER ANALYSIS OF DATA ON GENE EXPRESSION IN BRAIN CELLS OBTAINED BY MICROARRAY TESTS AND HIGH-THROUGHPUT SEQUENCING
by: I. V. Medvedeva, et al.
Published: (2015-01-01) -
Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects
by: Lingxi Liu, et al.
Published: (2025-01-01) -
Genome Array on Differentially Expressed Genes of Skin Tissue in Cashmere Goat at Early Anagen of Cashmere Growth Cycle Using DNA Microarray
by: Jiang DI, et al.
Published: (2014-10-01) -
Segmentation of Aggregate and Asphalt in Photographic Images of Pavements
by: Angela Marcela MEJÍA, et al.
Published: (2021-01-01) -
Microarrays: a new era in development of oncohematology
by: Ye. A. Nikitin, et al.
Published: (2022-11-01)