The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
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Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions.Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi From Melanoma: A Web-Based International Dermoscopy Society Study.The Role of Color and Morphologic Characteristics in Dermoscopic Diagnosis.Strategies for early melanoma detection: Approaches to the patient with neviDermoscopy for the diagnosis of melanoma: primary care diagnostic technology update.Dermoscopy of Melanomas on the Trunk and Extremities in Asians.Automated dermoscopy image analysis of pigmented skin lesionsCurrent and emerging technologies in melanoma diagnosis: the state of the artUsing dermoscopic criteria and patient-related factors for the management of pigmented melanocytic nevi.Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis.A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices.p53 prevents progression of nevi to melanoma predominantly through cell cycle regulationAccuracy of the first step of the dermatoscopic 2-step algorithm for pigmented skin lesions.When algorithms falter: a case report of a very small melanoma excised due to the dermatoscopic "ugly duckling" signA Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA).Glowing in the dark: case report of a clue-poor melanoma unmasked by polarized dermatoscopy.Triage amalgamated dermoscopic algorithm (TADA) for skin cancer screeningDigital imaging biomarkers feed machine learning for melanoma screening.Pigmented nodular melanoma: the predictive value of dermoscopic features using multivariate analysis.The significance of blue color in dermatoscopy.Clinical and dermoscopic characteristics of Merkel cell carcinoma.Comparison of dermatoscopic diagnostic algorithms based on calculation: The ABCD rule of dermatoscopy, the seven-point checklist, the three-point checklist and the CASH algorithm in dermatoscopic evaluation of melanocytic lesions.Rethinking Skin Lesion Segmentation in a Convolutional Classifier.Enhancing Skin Cancer Diagnosis with Dermoscopy.CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist.Computer-aided pattern classification system for dermoscopy images.Measures of satisfaction for providers and patients using same day teledermoscopy consultation.Differential roles of the pRb and Arf/p53 pathways in murine naevus and melanoma genesis.Screening for malignant melanoma-a critical assessment in historical perspective.Malignes MelanomColour-based dermoscopy classification of cutaneous lesions: an alternative approach
P2860
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P2860
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
description
2007 nî lūn-bûn
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2007年の論文
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年學術文章
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name
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@en
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@nl
type
label
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@en
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@nl
prefLabel
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@en
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@nl
P2093
P1476
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.
@en
P2093
Alfred W Kopf
Ashfaq A Marghoob
David Polsky
Harold S Rabinovitz
J Scott Henning
Stephen W Dusza
Steven Q Wang
P356
10.1016/J.JAAD.2006.09.003
P407
P577
2007-01-01T00:00:00Z