AIMC Topic: Skin Neoplasms
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Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.
Acta dermatovenerologica Croatica : ADC
Dec 1, 2020
Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple or single lesions larger than 5 mm. In contrast to typical molluscum contagiosum, dermoscopic features of giant lesions have been poorly described, an...
Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues.
Journal of biomedical optics
Nov 1, 2020
SIGNIFICANCE: Melanoma is a deadly cancer that physicians struggle to diagnose early because they lack the knowledge to differentiate benign from malignant lesions. Deep machine learning approaches to image analysis offer promise but lack the transpa...
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population.
Chinese medical journal
Sep 5, 2020
BACKGROUND: Diagnoses of Skin diseases are frequently delayed in China due to lack of dermatologists. A deep learning-based diagnosis supporting system can facilitate pre-screening patients to prioritize dermatologists' efforts. We aimed to evaluate ...
[Computer-assisted skin cancer diagnosis : Is it time for artificial intelligence in clinical practice?].
Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
Sep 1, 2020
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical practice. Especially in the image-based diagnosis of skin cancer, AI shows great potential. However, there is a significant discrepancy between expectations and true relev...
[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].
Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
Sep 1, 2020
ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2)...
Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural networks compete. The generator t...
Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.
JAMA dermatology
May 1, 2020
IMPORTANCE: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Althou...
Adult
Humans
Patient Acceptance of Health Care
Artificial Intelligence
Grounded Theory
Male
Physician-Patient Relations
Skin Neoplasms
Middle Aged
Biopsy
Qualitative Research
Reproducibility of Results
Observer Variation
Interviews as Topic
Aged
Health Services Accessibility
Mass Screening
Female
Early Detection of Cancer
Melanoma
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