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.
about
Computer-aided dermoscopy for diagnosis of melanomaCutaneous melanoma: making a clinical diagnosis, present and future.Lacunarity analysis: a promising method for the automated assessment of melanocytic naevi and melanoma.A possible melanoma discrimination index based on hyperspectral data: a pilot study.Automatic diagnosis of melanoma using machine learning methods on a spectroscopic system.Skin cancer recognition by using a neuro-fuzzy systemComputer-aided diagnosis of skin lesions using conventional digital photography: a reliability and feasibility study.A methodological approach to the classification of dermoscopy images.The feasibility of using manual segmentation in a multifeature computer-aided diagnosis system for classification of skin lesions: a retrospective comparative studyAutomated dermoscopy image analysis of pigmented skin lesionsComputer Based Melanocytic and Nevus Image Enhancement and Segmentation.Current and emerging technologies in melanoma diagnosis: the state of the artDistribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas.New diagnostics for melanoma detection: from artificial intelligence to RNA microarrays.Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi.Patient acceptance and diagnostic utility of automated digital image analysis of pigmented skin lesions.A simple scoring system for the diagnosis of palmo-plantar pigmented skin lesions by digital dermoscopy analysis.Dermoscopy and digital dermoscopy analysis of palmoplantar 'equivocal' pigmented skin lesions in Caucasians.Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images.Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet.Segmentation of skin lesion using Cohen-Daubechies-Feauveau biorthogonal wavelet.A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.Skin tumor area extraction using an improved dynamic programming approach.Can automated dermoscopy image analysis instruments provide added benefit for the dermatologist? A study comparing the results of three systems.Colour-based dermoscopy classification of cutaneous lesions: an alternative approach
P2860
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P2860
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.
description
2003 nî lūn-bûn
@nan
2003 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Diagnostic and neural analysis ...... ions using digital dermoscopy.
@ast
Diagnostic and neural analysis ...... ions using digital dermoscopy.
@en
type
label
Diagnostic and neural analysis ...... ions using digital dermoscopy.
@ast
Diagnostic and neural analysis ...... ions using digital dermoscopy.
@en
prefLabel
Diagnostic and neural analysis ...... ions using digital dermoscopy.
@ast
Diagnostic and neural analysis ...... ions using digital dermoscopy.
@en
P2093
P2860
P1476
Diagnostic and neural analysis ...... sions using digital dermoscopy
@en
P2093
J Newton Bishop
J P Ortonne
J-P Césarini
K Hoffmann
L Andreassi
M Anschuetz
P2860
P304
P356
10.1046/J.1365-2133.2003.05547.X
P407
P577
2003-10-01T00:00:00Z