Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy

Author:

Kose KivancORCID,Bozkurt AlicanORCID,Alessi-Fox ChristiORCID,Brooks Dana H.ORCID,Dy Jennifer G.ORCID,Rajadhyaksha MilindORCID,Gill MelissaORCID

Funder

National Institutes of Health

MSKCC’s Cancer Center core

Publisher

Elsevier BV

Subject

Cell Biology,Dermatology,Molecular Biology,Biochemistry

Reference30 articles.

1. Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions;Alarcon;Br J Dermatol,2014

2. Clinical indications for use of reflectance confocal microscopy for skin cancer diagnosis;Borsari;JAMA Dermatol,2016

3. Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering;Bozkurt;Skin Res Technol,2017

4. A Multiresolution Convolutional Neural Network with partial label training for annotating reflectance confocal microscopy images of skin;Bozkurt,2018

5. Delineation of skin strata in reflectance confocal microscopy images using recurrent convolutional networks with Toeplitz attention. arXiv;Bozkurt,2017

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