Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

about

Wavelet-based statistical classification of skin images acquired with reflectance confocal microscopy.

P2860

Q47161682-9969B580-2E1D-4DEE-9B57-B6496B6B75AE

P2860

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

Item

http://www.wikidata.org/entity/Q35992477

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@ast

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@en

type

Item

label

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@ast

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@en

prefLabel

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@ast

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@en

P1476

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

@en

P2093

Samuel C Hames

http://www.w3.org/2001/XMLSchema#string

P2860

Diagnostic applicability of in vivo confocal laser scanning microscopy in melanocytic skin tumors.

X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words.

Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi.

Automated delineation of dermal-epidermal junction in reflectance confocal microscopy image stacks of human skin.

In vivo confocal scanning laser microscopy of human skin: melanin provides strong contrast.

In vivo confocal microscopy for diagnosis of melanoma and basal cell carcinoma using a two-step method: analysis of 710 consecutive clinically equivocal cases.

Automated identification of epidermal keratinocytes in reflectance confocal microscopy.

Computational characterization of reflectance confocal microscopy features reveals potential for automated photoageing assessment.

In vivo assessment of chronological ageing and photoageing in forearm skin using reflectance confocal microscopy.

In vivo reflectance confocal microscopy: automated diagnostic image analysis of melanocytic skin tumours.

P304

e0153208

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0153208

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

P577

2016-04-18T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

27088865

http://www.w3.org/2001/XMLSchema#string

P932

4835045

http://www.w3.org/2001/XMLSchema#string

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

about

P2860

P2860

Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932