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Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms.

• Authors : Dascalu A; Department of Physiology and Pharmacology, Sackler School of Medicine, Tel Aviv University, 6 Matmon Cohen Street, 6209406, Tel Aviv, Israel. .; Walker BN

• Source: Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2022 Sep; Vol. 148 (9), pp. 2497-2505. Date of Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 7902060 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network.

• Authors : Singh SK; School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK.; Abolghasemi V

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Aug 20; Vol. 22 (16). Date of Electronic Publication: 2022 Aug 20.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Developments and Clinical Applications of Noninvasive Optical Technologies for Skin Cancer Diagnosis.

• Authors : Owida HA; Medical Engineering Department, Faculty of Engineering, Al Ahliyya Amman University, Amman 19328, Jordan.

• Source: Journal of skin cancer [J Skin Cancer] 2022 Nov 18; Vol. 2022, Publisher: Hindawi Publishing Corporation Country of Publication: United States NLM ID: 101546757 Publication Model: eCollection Cited Medium: Print

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A retrospective analysis of rates of dermatology follow-up and new skin cancer diagnosis among solid organ transplant recipients during the COVID-19 pandemic.

• Authors : Saranath R; Keck School of Medicine, University of Southern California, Los Angeles, California.; Fernandez B

• Source: JAAD international [JAAD Int] 2022 Nov 17; Vol. 10, pp. 53-54. Date of Electronic Publication: 2022 Nov 17 (Print Publication: 2023).Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101774762 Publication Model: eCollection Cited Medium: Internet ISSN:

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Concordance between patient-identified concerns and skin cancer diagnosis - an observational cross-sectional study.

• Authors : Brown H; Mater Hospital, South Brisbane, Queensland, Australia.; South East Dermatology, Annerley, Queensland, Australia.

• Source: The Australasian journal of dermatology [Australas J Dermatol] 2021 Aug; Vol. 62 (3), pp. e428-e430. Date of Electronic Publication: 2021 Apr 29.Publisher: Wiley-Blackwell Country of Publication: Australia NLM ID: 0135232 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Computer vision for microscopic skin cancer diagnosis using handcrafted and non-handcrafted features.

• Authors : Saba T; Artificial Intelligence & Data Analytics Lab, CCIS Prince Sultan University, Riyadh, Saudi Arabia.

• Source: Microscopy research and technique [Microsc Res Tech] 2021 Jun; Vol. 84 (6), pp. 1272-1283. Date of Electronic Publication: 2021 Jan 05.Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9203012 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm.

• Authors : Wei L; Gannan University of Science & Technology, Ganzhou, Jiangxi 341000, China.; Pan SX

• Source: Computational and mathematical methods in medicine [Comput Math Methods Med] 2021 Jun 18; Vol. 2021, pp. 5527698. Date of Electronic Publication: 2021 Jun 18 (Print Publication:Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: eCollection Cited Medium: Internet ISSN: 1748-6718

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The impact of a skin cancer diagnosis on travel insurance: a sun worshipper's dilemma.

• Authors : De La Cruz Monroy MFI; Department of Plastic Surgery, Bradford Royal Infirmary, Bradford Teaching Hospitals Foundation Trust, Bradford, West Yorkshire, UK.; Abdul Z

• Source: Clinical and experimental dermatology [Clin Exp Dermatol] 2021 Apr; Vol. 46 (3), pp. 578-580. Date of Electronic Publication: 2020 Nov 29.Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 7606847 Publication Model: Print-Electronic Cited Medium: Internet

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Impact of the COVID-19 pandemic on skin cancer diagnosis: A population-based study.

• Authors : Asai Y; Division of Dermatology, Department of Medicine, Queen's University, Kingston, ON, Canada.; Nguyen P

• Source: PloS one [PLoS One] 2021 Mar 31; Vol. 16 (3), pp. e0248492. Date of Electronic Publication: 2021 Mar 31 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Impact of a Community Intervention for Early Skin Cancer Diagnosis Implementing Teledermatology.

• Authors : Millán-Cayetano JF; José Francisco Millán-Cayetano, MD, PhD, Dermatology Department, Hospital Costa del Sol, Autovía A7, km 187, Marbella 29603, Málaga, Spain; .

• Source: Acta dermatovenerologica Croatica : ADC [Acta Dermatovenerol Croat] 2020 Aug; Vol. 28 (2), pp. 75-79.Publisher: Croatian Dermatovenerological Society Country of Publication: Croatia NLM ID: 9433781 Publication Model: Print Cited Medium: Internet

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