On Bilateral Basic Hypergeometric Series and Continued Fractions

Srivastava, Pankaj; Mishra, Debasisha

doi:10.12732/ijam.v26i4.6

Cited by 1 publication

(1 citation statement)

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“…This software contains data screening methods to eliminate noisy, missing, or erroneous data and includes numerous supervised and unsupervised algorithms for testing various classification models. It can also employ feature selection tools like filter and wrapper based methods, regularization methods like LASSO or elastic net [129], and stochastic search methods like swarm search [130] to assist the analyst in choosing a model and feature set that performs best for a particular task [131, 132]. Advances in this open‐source machine learning platform have led to the automation of WEKA, called Auto‐WELA, where the best‐performing model and hyperparameter settings are found through Bayesian optimization [133].…”

Section: Multimodal Rs–oct: Overviewmentioning

confidence: 99%

Multimodal Raman spectroscopy and optical coherence tomography for biomedical analysis

Fitzgerald

Akhtar

Schartner

et al. 2022

Journal of Biophotonics

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Optical techniques hold great potential to detect and monitor disease states as they are a fast, non‐invasive toolkit. Raman spectroscopy (RS) in particular is a powerful label‐free method capable of quantifying the biomolecular content of tissues. Still, spontaneous Raman scattering lacks information about tissue morphology due to its inability to rapidly assess a large field of view. Optical Coherence Tomography (OCT) is an interferometric optical method capable of fast, depth‐resolved imaging of tissue morphology, but lacks detailed molecular contrast. In many cases, pairing label‐free techniques into multimodal systems allows for a more diverse field of applications. Integrating RS and OCT into a single instrument allows for both structural imaging and biochemical interrogation of tissues and therefore offers a more comprehensive means for clinical diagnosis. This review summarizes the efforts made to date toward combining spontaneous RS‐OCT instrumentation for biomedical analysis, including insights into primary design considerations and data interpretation.

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