Melanoma detection using smartphone and multimode hyperspectral imaging

MacKinnon, Nicholas; Vasefi, Fartash; Booth, Nicholas; Farkas, Daniel L.

doi:10.1117/12.2222415

Cited by 13 publications

(11 citation statements)

References 22 publications

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“…A number of optical imaging and spectroscopic technologies have been developed for noninvasive detection of skin cancers . These include RCM, optical coherence tomography (OCT), diffuse reflectance spectroscopy including multi‐ and hyper‐spectral approaches, two‐photon microscopy, Raman spectroscopy, and multimodal spectroscopy . Of these, RCM imaging is currently the furthest along in clinical settings, with level I and level II evidence supporting its role in enabling dermatologists to discriminate benign from malignant lesions with high sensitivity and specificity.…”

Section: Introductionmentioning

confidence: 99%

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Reflectance confocal microscopy of skin in vivo: From bench to bedside

et al. 2016

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Following more than two decades of effort, reflectance confocal microscopy (RCM) imaging of skin was granted codes for reimbursement by the US Centers for Medicare and Medicaid Services. Dermatologists in the USA have started billing and receiving reimbursement for the imaging procedure and for the reading and interpretation of images. RCM imaging combined with dermoscopic examination is guiding the triage of lesions into those that appear benign, which are being spared from biopsy, against those that appear suspicious, which are then biopsied. Thus far, a few thousand patients have been spared from biopsy of benign lesions. The journey of RCM imaging from bench to bedside is certainly a success story, but still much more work lies ahead toward wider dissemination, acceptance, and adoption. We present a brief review of RCM imaging and highlight key challenges and opportunities. The success of RCM imaging paves the way for other emerging optical technologies, as well—and our bet for the future is on multimodal approaches.

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Section: Introductionmentioning

confidence: 99%

“…Multimodal spectral approaches, combining reflectance, fluorescence, and Raman, can classify melanocytic and non‐melanocytic lesions with sensitivity 90–100% and specificity 71% to 100% . A new polarization‐sensitive hyper‐spectral imaging approach (SkinSpect) is in clinical testing .…”

Section: Introductionmentioning

confidence: 99%

Reflectance confocal microscopy of skin in vivo: From bench to bedside

et al. 2016

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“…For several years, it has been known that spectral imaging systems do need to not be large or expensive, and indeed, multiple groups have built such systems. 22,24,27,36,37 However, to our knowledge, these are the first end-to-end analyses that show it is possible to estimate tissue scattering and absorption properties with a low-cost system and that expensive hardware is not necessary for making clinically relevant measurements. Until now, validation of low-cost spectral analysis systems has focused primarily on the hardware, with less emphasis on the analysis and measuring optical properties.…”

Section: Discussionmentioning

confidence: 99%

Portable, low-cost multispectral imaging system: design, development, validation, and utilization

Bolton

Bernat²,

Bar-Am³

et al. 2018

J. Biomed. Opt.

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Optical spectral images can be used to estimate the amount of bulk absorbers in tissues, specifically oxy-and deoxyhemoglobin, as well as scattering parameters. Most systems that capture spectral image data are large, heavy, and expensive. This paper presents a full end-to-end analysis of a low-cost reflectance-mode multispectral imaging system operating in the visible and near-infrared spectra. The system consists of 13 LEDs mounted on a printed circuit board, a monochrome machine vision camera, and a tablet computer to control the hardware. The bill of materials for the system is less than $1000. Hardware design and implementation are detailed. Calibration, image capture, and preprocessing are also discussed. In validation experiments, excellent agreement is observed in diffuse reflectance measurements between the spectral camera setup and a spectrometer. To demonstrate that such spectral image data can yield meaningful optical measurements in vivo, the forearms of eight volunteers are imaged in the system. Their data are then analyzed to estimate the tissue optical properties of different skin layers using a Monte Carlo lookup table. In three volunteers, spectral images are captured before and after inducing erythema using a warm wet towel. Across the three subjects, a clear increase in the blood content of the superficial plexus layer was observed as a result of the erythema. Collectively, these findings suggest that a low-cost system can capture accurate spectral data and that clinically meaningful information can be derived from it.

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“…The self-examination/self-diagnosing optical extensions and grip panels for mobile phones are very popular. There is also a growing market for handy dermatoscope-like devices with optics and ARM-based processors for a 'mobile' CAD and melanoma diagnosis [15,16].…”

Section: Introductionmentioning

confidence: 99%

Search for Resolution Invariant Wavelet Features of Melanoma Learned by a Limited ANN Classifier

Surówka¹

2017

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Abstract. This article addresses the Computer Aided Diagnosis (CAD) of melanoma pigmented skin cancer. We present back-propagated Artificial Neural Network (ANN) classifiers discriminating dermoscopic skin lesion images into two classes: malignant melanoma and dysplastic nevus. Features used for our classification experiments are derived from wavelet decomposition coefficients of the image. Our research objective is i) to select the most efficient topology of the hidden layers and the network learning algorithm for full-size and downgraded image resolutions and, ii) to search for resolution-invariant topologies and learning methods. The analyzed classifiers should be fit to work on ARM-based hand-held devices, hence we take into account only limited learning setups.

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Melanoma detection using smartphone and multimode hyperspectral imaging

Cited by 13 publications

References 22 publications

Reflectance confocal microscopy of skin in vivo: From bench to bedside

Reflectance confocal microscopy of skin in vivo: From bench to bedside

Portable, low-cost multispectral imaging system: design, development, validation, and utilization

Search for Resolution Invariant Wavelet Features of Melanoma Learned by a Limited ANN Classifier

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