Melanoma and Other Skin Lesion Detection Using Smart Handheld Devices

Zouridakis, George; Wadhawan, Tarun; Situ, Ning; Hu, Rui; Yuan, Xiaojing; Lancaster, Keith; Queen, Courtney M.

doi:10.1007/978-1-4939-2172-0_30

Cited by 18 publications

(13 citation statements)

References 88 publications

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“…Accuracies between 76% and 85% have been recorded. Another example of contact or active camera testing applications has been proposed in [125] to test the skin lesion for different bacterial diseases, such as Buruli ulcer. In [126], all smartphones' sensor data have been recorded to monitor mental health and detect depression, stress, and loneliness.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts

et al. 2019

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Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices. Sensors are added to enhance the usability of these devices and improve the quality of experience through data collection and analysis. However, with the era of big data and machine learning, sensors’ data may be processed by different techniques to infer various hidden information. The extracted information may be beneficial to device users, developers, and designers to enhance the management, operation, and development of these devices. However, the extracted information may be used to compromise the security and the privacy of humans in the era of Internet of Everything (IoE). In this work, we attempt to review the process of inferring meaningful data from smart devices’ sensors, especially, smartphones. In addition, different useful machine learning applications based on smartphones’ sensors data are shown. Moreover, different side channel attacks utilizing the same sensors and the same machine learning algorithms are overviewed.

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Section: Journal Of Sensorsmentioning

confidence: 99%

Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts

et al. 2019

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“…While not all will become commercially viable we can expect to see many of these devices eventually reaching the market. Raman spectroscopy [9] Multi-wavelength imaging [19] Microscopy [10] Polarization imaging [7] Confocal microscopy Hyperspectral imaging…”

Section: Current Smartphone Applications In Dermatologymentioning

confidence: 99%

Melanoma detection using smartphone and multimode hyperspectral imaging

MacKinnon¹,

Vasefi²,

Booth³

et al. 2016

Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX

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This project's goal is to determine how to effectively implement a technology continuum from a low cost, remotely deployable imaging device to a more sophisticated multimode imaging system within a standard clinical practice. In this work a smartphone is used in conjunction with an optical attachment to capture cross-polarized and collinear color images of a nevus that are analyzed to quantify chromophore distribution. The nevus is also imaged by a multimode hyperspectral system, our proprietary SkinSpect™ device. Relative accuracy and biological plausibility of the two systems algorithms are compared to assess aspects of feasibility of in-home or primary care practitioner smartphone screening prior to rigorous clinical analysis via the SkinSpect.

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“…Outside of clinic-based primary prevention of melanoma, other resources may facilitate care and prevention for patients lacking intensive screening program access or awareness of their risk profile. 32 , 33 A review of smartphone applications dedicated to evaluating melanoma revealed that 39 health applications (apps) were available as of July 2014. 34 Of these, 22 provide patient education on clinical features of melanoma, sun-protective practices, and outline appropriate techniques for self-skin examination.…”

Section: Initial Diagnosis Of Melanomamentioning

confidence: 99%

Improving outcomes in patients with melanoma: strategies to ensure an early diagnosis

Voss¹,

Woods²,

Cromwell³

et al. 2015

PROM

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Patients with thin, low-risk melanomas have an excellent long-term prognosis and higher quality of life than those who are diagnosed at later stages. From an economic standpoint, treatment of early stage melanoma consumes a fraction of the health care resources needed to treat advanced disease. Consequently, early diagnosis of melanoma is in the best interest of patients, payers, and health care systems. This review describes strategies to ensure that patients receive an early diagnosis through interventions ranging from better utilization of primary care clinics, to in vivo diagnostic technologies, to new “apps” available in the market. Strategies for screening those at high risk due to age, male sex, skin type, nevi, genetic mutations, or family history are discussed. Despite progress in identifying those at high risk for melanoma, there remains a lack of general consensus worldwide for best screening practices. Strategies to ensure early diagnosis of recurrent disease in those with a prior melanoma diagnosis are also reviewed. Variations in recurrence surveillance practices by type of provider and country are featured, with evidence demonstrating that various imaging studies, including ultrasound, computed tomography, positron emission tomography, and magnetic resonance imaging, provide only minimal gains in life expectancy, even for those with more advanced (stage III) disease. Because the majority of melanomas are attributable to ultraviolet radiation in the form of sunlight, primary prevention strategies, including sunscreen use and behavioral interventions, are reviewed. Recent international government regulation of tanning beds is described, as well as issues surrounding the continued use artificial ultraviolet sources among youth. Health care stakeholder strategies to minimize UV exposure are summarized. The recommendations encompass both specific behaviors and broad intervention targets (eg, individuals, social spheres, organizations, celebrities, governments).

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Melanoma and Other Skin Lesion Detection Using Smart Handheld Devices

Cited by 18 publications

References 88 publications

Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts

Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts

Melanoma detection using smartphone and multimode hyperspectral imaging

Improving outcomes in patients with melanoma: strategies to ensure an early diagnosis

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