about
Cutaneous 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.Skin cancer recognition by using a neuro-fuzzy systemAutomatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence.Current and emerging technologies in melanoma diagnosis: the state of the artComputer aided diagnostic support system for skin cancer: a review of techniques and algorithms.Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis.Dysplastic naevus vs. in situ melanoma: digital dermoscopy analysis.Digital dermoscopy in clinical practise: a three-centre analysis.Melanocytic skin lesions and pregnancy: digital dermoscopy analysis.Objective melanoma progression.Impact of digital dermoscopy analysis on the decision to follow up or to excise a pigmented skin lesion: a multicentre study.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.Unified approach for lesion border detection based on mixture modeling and local entropy thresholding.Texture based skin lesion abruptness quantification to detect malignancy.Digital dermoscopy analysis and internet-based program for discrimination of pigmented skin lesion dermoscopic images.Colorimetric analysis of pigmented skin lesions: a pilot study with the Visi-Chroma VC-100 device.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.Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron
P2860
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P2860
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
2002年论文
@zh
2002年论文
@zh-cn
name
Automated diagnosis of pigmented skin lesions.
@en
Automated diagnosis of pigmented skin lesions.
@nl
type
label
Automated diagnosis of pigmented skin lesions.
@en
Automated diagnosis of pigmented skin lesions.
@nl
prefLabel
Automated diagnosis of pigmented skin lesions.
@en
Automated diagnosis of pigmented skin lesions.
@nl
P2093
P2860
P356
P1476
Automated diagnosis of pigmented skin lesions
@en
P2093
Clelia Miracco
Giordana Dell'Eva
Lucio Andreassi
Marco Burroni
Paolo Barbini
Paolo Sbano
Piero Tosi
Pietro Luzi
Roberto Perotti
P2860
P304
P356
10.1002/IJC.10620
P577
2002-10-01T00:00:00Z