Automated diagnosis of pigmented skin lesions. - Wikidata - wikimedia - TriplyDB

Automated diagnosis of pigmented skin lesions.

Automated diagnosis of pigmented skin lesions.

http://www.wikidata.org/entity/Q39615847

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 system Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence.Current and emerging technologies in melanoma diagnosis: the state of the art Computer 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

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P2860

Automated diagnosis of pigmented skin lesions.

http://www.wikidata.org/entity/Q39615847

description

2002 nî lūn-bûn

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2002年の論文

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2002年論文

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2002年論文

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2002年論文

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2002年論文

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2002年論文

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2002年论文

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2002年论文

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2002年论文

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name

Automated diagnosis of pigmented skin lesions.

@en

Automated diagnosis of pigmented skin lesions.

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type

label

Automated diagnosis of pigmented skin lesions.

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Automated diagnosis of pigmented skin lesions.

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prefLabel

Automated diagnosis of pigmented skin lesions.

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Automated diagnosis of pigmented skin lesions.

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International Journal of Cancer

P1476

Automated diagnosis of pigmented skin lesions

@en

P2093

Clelia Miracco

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

Giordana Dell'Eva

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

Lucio Andreassi

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Marco Burroni

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Paolo Barbini

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Paolo Sbano

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Piero Tosi

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Pietro Luzi

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Roberto Perotti

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P2860

Epiluminescence Microscopy for the Diagnosis of Doubtful Melanocytic Skin Lesions

Surface microscopy of pigmented skin tumours.

Sensitivity and specificity of epiluminescence microscopy: evaluation on a sample of 2731 excised cutaneous pigmented lesions. The Melanoma Cooperative Study.

Epidemiology of melanoma.

Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: a new quantitative semiology.

Intraobserver agreement in interpretation of digital epiluminescence microscopy.

Evaluation of different image acquisition techniques for a computer vision system in the diagnosis of malignant melanoma.

Differentiation between pigmented Spitz naevus and melanoma by digital dermoscopy and stepwise logistic discriminant analysis.

Use of neural networks in predicting the risk of coronary artery disease.

In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions.

P304

576-580

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scholarly article

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10.1002/IJC.10620

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6

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101

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Gabriele Cevenini

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2002-10-01T00:00:00Z

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11152653

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12237900

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