Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images.

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Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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name

Comparison of computer systems ...... tection in dermoscopic images.

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Comparison of computer systems ...... tection in dermoscopic images.

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label

Comparison of computer systems ...... tection in dermoscopic images.

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Comparison of computer systems ...... tection in dermoscopic images.

@nl

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Comparison of computer systems ...... tection in dermoscopic images.

@en

Comparison of computer systems ...... tection in dermoscopic images.

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P1476

Comparison of computer systems ...... etection in dermoscopic images

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P2093

Fred Godtliebsen

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Herbert Kirchesch

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Maciel Zortea

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Thomas R Schopf

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P2860

Dermatologist-level classification of skin cancer with deep neural networks

Diagnosing skin malignancy: assessment of predictive clinical criteria and risk factors.

Pitfalls of supervised feature selection.

State of the art in non-invasive imaging of cutaneous melanoma.

Diagnostic accuracy of dermoscopy.

Clinical performance of the Nevisense system in cutaneous melanoma detection: an international, multicentre, prospective and blinded clinical trial on efficacy and safety

Accuracy of computer diagnosis of melanoma: a quantitative meta-analysis.

Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet.

Non-invasive tools for the diagnosis of cutaneous melanoma.

Dermoscopy report: proposal for standardization. Results of a consensus meeting of the International Dermoscopy Society.

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e0190112

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scholarly article

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10.1371/JOURNAL.PONE.0190112

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English

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Kajsa Møllersen

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2017-12-21T00:00:00Z

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29267358

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1802.01301

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automation

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5739481

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