Skin image analysis for erythema migrans detection and automated lyme disease referral

Philippe Burlina, N. Joshi, Elise Ng, S. Billings, A. Rebman, John Aucott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study develops approaches for the automated referral of individuals with Lyme disease using erythema migrans rash (EM) images with clinical-grade or ‘in the wild’ characteristics. We develop a pre-screener using a Deep Convolutional Neural Network (DCNN) that classifies EM vs. other conditions, including either control/unaffected skin, or skin presenting with other confuser lesions. We test and report performance metrics for the proposed approach on this dataset including Cohen’s Kappa coefficient, area under the receiver operating characteristic (ROC) curve (AUC), accuracy, sensitivity, specificity. The machine classification yields accuracy (and error margin) of 93.04% (1.49), AUC of 0.9504 (0.0156), and Kappa of 0.7549 (0.0586), which is a significant improvement over previously published state-of-the-art methods. Results also suggest substantial agreement between machine and expert clinician annotated gold standard images. The DCNN model developed for this skin classifier is made publicly available and can potentially be used by others for transfer learning to other types of skin lesion classification models including those for skin cancer.

Original languageEnglish (US)
Title of host publicationOR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis - 1st International Workshop, OR 2.0 2018 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, 3rd International Workshop, ISIC 2018 Held in Conjunction with MICCAI 2018
EditorsAnand Malpani, Marco A. Zenati, Cristina Oyarzun Laura, M. Emre Celebi, Duygu Sarikaya, Noel C. Codella, Allan Halpern, Marius Erdt, Lena Maier-Hein, Luo Xiongbiao, Stefan Wesarg, Danail Stoyanov, Zeike Taylor, Klaus Drechsler, Kristin Dana, Anne Martel, Raj Shekhar, Sandrine De Ribaupierre, Tobias Reichl, Jonathan McLeod, Miguel Angel González Ballester, Toby Collins, Marius George Linguraru
PublisherSpringer Verlag
Pages244-251
Number of pages8
ISBN (Print)9783030012007
DOIs
StatePublished - Jan 1 2018
Event1st International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and 1st International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: Sep 16 2018Sep 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11041 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and 1st International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018
CountrySpain
CityGranada
Period9/16/189/20/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Burlina, P., Joshi, N., Ng, E., Billings, S., Rebman, A., & Aucott, J. (2018). Skin image analysis for erythema migrans detection and automated lyme disease referral. In A. Malpani, M. A. Zenati, C. Oyarzun Laura, M. E. Celebi, D. Sarikaya, N. C. Codella, A. Halpern, M. Erdt, L. Maier-Hein, L. Xiongbiao, S. Wesarg, D. Stoyanov, Z. Taylor, K. Drechsler, K. Dana, A. Martel, R. Shekhar, S. De Ribaupierre, T. Reichl, J. McLeod, M. A. González Ballester, T. Collins, ... M. G. Linguraru (Eds.), OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis - 1st International Workshop, OR 2.0 2018 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, 3rd International Workshop, ISIC 2018 Held in Conjunction with MICCAI 2018 (pp. 244-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11041 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-01201-4_26