Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin. (Q46715854)

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3 January 2020

title

Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin (English)

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3 January 2020

5

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3 January 2020

M Emre Celebi

3

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3 January 2020

H. Peter Soyer

6

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3 January 2020

Hiroshi Koga

7

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3 January 2020

author name string

Hitoshi Iyatomi

1

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3 January 2020

Hiroshi Oka

2

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3 January 2020

Koichi Ogawa

4

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3 January 2020

Toshiaki Saida

8

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3 January 2020

Kuniaki Ohara

9

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3 January 2020

Masaru Tanaka

10

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language of work or name

English

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publication date

6 March 2008

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Journal of Investigative Dermatology

3 January 2020

published in

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3 January 2020

volume

128

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3 January 2020

issue

8

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page(s)

2049-2054

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https://scigraph.springernature.com/pub.10.1038/jid.2008.28

3 January 2020

exact match

0 references

cites work

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

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7 January 2021

Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions.

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7 January 2021

Dysplastic naevus vs. in situ melanoma: digital dermoscopy analysis.

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7 January 2021

A methodological approach to the classification of dermoscopy images.

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7 January 2021

Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study.

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7 January 2021

Neural network diagnosis of malignant melanoma from color images.

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7 January 2021

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7 January 2021

Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer-aided analysis of data from pigmented skin lesions using digital dermoscopy.

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7 January 2021

Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system.

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7 January 2021

Internet-based program for automatic discrimination of dermoscopic images between melanomas and Clark naevi

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7 January 2021

Automated diagnosis of pigmented skin lesions.

1 reference

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7 January 2021

Significance of dermoscopic patterns in detecting malignant melanoma on acral volar skin: results of a multicenter study in Japan

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7 January 2021

Dermoscopy for acral pigmented skin lesions

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7 January 2021

Digital videomicroscopy improves diagnostic accuracy for melanoma.

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7 January 2021