A deep learning based method for automatic analysis of high-throughput droplet digital PCR images

H Yang, J Yu, L Jin, Y Zhao, Q Gao, C Shi, L Ye, D Li… - Analyst, 2023 - pubs.rsc.org
Droplet digital PCR (ddPCR) is a technique for absolute quantification of nucleic acid
molecules and is widely used in biomedical research and clinical diagnosis. ddPCR …

[HTML][HTML] Automatic microarray image segmentation with clustering-based algorithms

G Shao, D Li, J Zhang, J Yang, Y Shangguan - PloS one, 2019 - journals.plos.org
Image segmentation, as a key step of microarray image processing, is crucial for obtaining
the spot expressions simultaneously. However, state-of-art clustering-based segmentation …

Adaptive type2-possibilistic C-means clustering and its application to microarray datasets

Z Moattar Husseini, MH Fazel Zarandi… - Artificial Intelligence …, 2023 - Springer
Microarray technology is an important innovation that simultaneously facilitates measuring
the expression level for thousands of genes in different samples. One basic and widely used …

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation

X Yang, C Yin, S Dadras, G Lei, X Tan… - Frontiers of Information …, 2022 - Springer
To detect spacecraft damage caused by hypervelocity impact, we propose an advanced
spacecraft defect extraction algorithm based on infrared imaging detection. The Gaussian …

Spatial Kernel Fuzzy Clustering methods for Microarray Image Spot Segmentation

MP Priya, CK Roopa, BS Harish, F Flammini - IEEE Access, 2023 - ieeexplore.ieee.org
Computational Intelligence (CI) techniques are used in Microarray image processing which
is useful for gene profiling in the medical field, drug discovery and industrial research. The …

[HTML][HTML] Microarray spot segmentation algorithm based on integro-differential operator

RM Farouk, MA SayedElahl - Egyptian Informatics Journal, 2019 - Elsevier
Microarray technology has increased exponentially in the past few years. Such technology
encompasses various applications related to drug design, tumor detection, clinical diagnosis …

A study on image processing using mathematical morphological

KAM Said, AB Jambek - 2016 3rd International Conference on …, 2016 - ieeexplore.ieee.org
Mathematical morphological image processing is one of the methods that provides
enhancement to the image, improves the image by creating better imaging and focuses on …

Neural networks ensemble for automatic DNA microarray spot classification

JC Rojas-Thomas, M Mora, M Santos - Neural Computing and …, 2019 - Springer
In this work, a new step for the DNA microarray image analysis pipeline is proposed using
neural computing techniques. We perform the classification of the spots into morphology …

An automated cDNA microarray image analysis for the determination of gene expression ratios

SM Joseph, PS Sathidevi - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a fully automated technique for cDNA microarray image analysis.
Initially, an effective preprocessing stage combined with gridding is built to get the individual …

[HTML][HTML] Research on evaluating the sustainable operation of rail transit system based on QFD and fuzzy clustering

B Yan, L Yu, J Wang - Entropy, 2020 - mdpi.com
The purpose of this study is to evaluate the sustainable operation of rail transit system. In rail
transit system, as the most important aspect of negative entropy flow, the effective strategy …