# Using complex networks towards information retrieval and diagnostics in multidimensional imaging

@article{Banerjee2015UsingCN, title={Using complex networks towards information retrieval and diagnostics in multidimensional imaging}, author={Soumya Jyoti Banerjee and Mohammad Azharuddin and Debanjan Sen and Smruti Savale and Himadri Datta and Anjan Kr. Dasgupta and Soumen Kumar Roy}, journal={Scientific Reports}, year={2015}, volume={5} }

We present a fresh and broad yet simple approach towards information retrieval in general and diagnostics in particular by applying the theory of complex networks on multidimensional, dynamic images. We demonstrate a successful use of our method with the time series generated from high content thermal imaging videos of patients suffering from the aqueous deficient dry eye (ADDE) disease. Remarkably, network analyses of thermal imaging time series of contact lens users and patients upon whom…

## 18 Citations

An Approach for Image Analysis Using Complex Network

- Computer Science2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)
- 2018

This paper presents an approach of image analysis using the complex network, a complex network is constructed and analyzed using the data of images, i.e. entropy, intensity, and position (EIP).

Interest Points Detection in Image Based on Topology Features of Multi-level Complex Networks

- Computer ScienceWirel. Pers. Commun.
- 2018

A new method for extracting interest points from RGB images by complex network analysis theory is presented and it is remarkable that the identify targets by degree centrality algorithm are similar to Harris and SIFT algorithm, and the accuracy are more than them.

Image Retrieval using Graphs

- 2018

Content-Based Image Retrieval has been a fast advancing area since the 1990s decade, with the Internet growth and the technology available that provides an easy access to acquire images. Hence, image…

A Complex Network Approach for Plant Growth Analysis using Images

- Computer Science2019 International Conference on Communication and Signal Processing (ICCSP)
- 2019

A new and yet simple approach towards plant growth analysis and its correlations in community is presented by applying the theory of complex network on visible images from a plant phenotyping system, which is highly promising in the area of precision agriculture when the authors have large area to monitor.

Network approaches in anomaly detection for disease conditions

- Computer ScienceBiomed. Signal Process. Control.
- 2021

The results showcase the possibility of performing anomaly detection in bio-signals with an algorithm exhibiting low computational complexity, showing the promise of implementation on low cost IoT hardware devices integrated with modern digital data acquisition systems for bedside patient monitoring.

Residue interaction dynamics in Vaucheria aureochrome1 light‐oxygen‐voltage: Bridging theory and experiments

- Medicine, PhysicsProteins
- 2020

The photo sensor domain of the signaling photoreceptor transcription factor, aureochrome1, is studied to understand light‐driven signaling and the notion of addressing crystallographic biases provides a fresh yet general approach for reconciliation of theory and experiments.

Mapping networks of light-dark transition in LOV photoreceptors

- Computer Science, MedicineBioinform.
- 2015

This work introduces the technique of differential networks and identifies key biological interactions, using light-oxygen-voltage domains of all organisms whose dark and light state crystal structures are simultaneously available, and predicts functional significance of interactions found to be important from network perspective yet awaiting experimental validation.

Network approach to mutagenesis sheds insight on phage resistance in mycobacteria

- Computer Science, MedicineBioinform.
- 2021

A measure called shortest path alteration fraction (SPAF) to compare any two networks by shortest paths, using sets is proposed, which coherently identifies pairs of proteins at the end of a subset of shortest paths from amongst hundreds of thousands of viable shortest paths in the networks.

From fuzzy recurrence plots to scalable recurrence networks of time series

- Computer Science
- 2017

Defuzzified, undirected, and unweighted recurrence networks are introduced based on the notion of fuzzy recurrence plots and network measures can be computed for defuzzifiedRecurrence networks that are scalable to meet the demand for the network-based analysis of big data.

Topologically Inspired Walks on Randomly Connected Landscapes With Correlated Fitness

- Computer ScienceFront. Phys.
- 2018

It is observed that topologically inspired walks might carry a population to a local optimum even faster than strictly adaptive walks, and interesting tradeoffs are observed between topologicallyinspired walks governed by the minimum and maximum value of a set of given network metrics.

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