Issue 48, 2016, Issue in Progress
From the journal:

RSC Advances

Correction: Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers

Satarupa Banerjee,*a   Swarnadip Chatterjee,b   Anji Anura,a   Jitamanyu Chakrabarty,c   Mousumi Pal,d   Bhaskar Ghosh,e   Ranjan Rashmi Paul,d   Debdoot Sheetf  and  Jyotirmoy Chatterjeea  

* Corresponding authors

a School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India
E-mail: satarupa@smst.iitkgp.ernet.in

b Advanced Technology Development Centre, Indian Institute of Technology, Kharagpur, India

c Department of Chemistry, National Institute of Technology Durgapur, India

d Department of Oral and Maxillofacial Pathology, Guru Nanak Institute of Dental Science and Research, Kolkata, India

e Department of ENT & Head Neck Surgery, Medical College, Kolkata, India

f Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India

Abstract

Correction for ‘Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers’ by Satarupa Banerjee et al., RSC Adv., 2016, 6, 7511–7520.

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Article information

DOI
https://doi.org/10.1039/C6RA90039A
Article type
Correction
Submitted
20 Apr 2016
Accepted
20 Apr 2016
First published
29 Apr 2016
This article is Open Access
Creative Commons BY license

RSC Adv., 2016,6, 42612-42612

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Correction: Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers

S. Banerjee, S. Chatterjee, A. Anura, J. Chakrabarty, M. Pal, B. Ghosh, R. R. Paul, D. Sheet and J. Chatterjee, RSC Adv., 2016, 6, 42612 DOI: 10.1039/C6RA90039A

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