Fully-convolutional neural networks ensemble for comet segmentation in single cell gel electrophoresis assay images
Author:
Affiliation:
1. Computational Learning and Imaging Research, Facultad de Matemáticas, Universidad Autónoma de Yucatán, Merida, Mexico
Funder
no funds, grants, or other
Publisher
Informa UK Limited
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2203279
Reference25 articles.
1. GamaComet: A Deep Learning-Based Tool for the Detection and Classification of DNA Damage from Buccal Mucosa Comet Assay Images
2. Comet assay responses as indicators of carcinogen exposure
3. Classification of DNA damages on segmented comet assay images using convolutional neural network
4. The quickhull algorithm for convex hulls
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