Literature DB >> 17109995

Evaluation of digital dermoscopy in a pigmented lesion clinic: clinician versus computer assessment of malignancy risk.

Jennifer C Boldrick1, Christle J Layton, Josephine Nguyen, Susan M Swetter.   

Abstract

Digital dermoscopy systems employ computer-based algorithms to quantitate features of pigmented skin lesions (PSLs) and provide an assessment of malignancy risk. We evaluated interobserver concordance of PSL malignancy risk between a pigmented lesion specialist and an artificial neural network (ANN)-based automated digital dermoscopy system. While digital dermoscopy provides a reliable means of image capture, storage, and comparison of PSLs over time, the ANN algorithm requires further training and validation before the malignancy risk assessment feature can be widely used in clinical practice.

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Year:  2006        PMID: 17109995     DOI: 10.1016/j.jaad.2006.08.033

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  7 in total

1.  An Integrated Platform for Skin Cancer Heterogenous and Multilayered Data Management.

Authors:  Ilias Maglogiannis; Georgia Kontogianni; Olga Papadodima; Haralampos Karanikas; Antonis Billiris; Aristotelis Chatziioannou
Journal:  J Med Syst       Date:  2021-01-06       Impact factor: 4.460

2.  [Computer-based diagnosis of skin cancer using artificial intelligence].

Authors:  F C Wolfsperger; A S Yazdi
Journal:  Hautarzt       Date:  2017-10       Impact factor: 0.751

3.  Automatic lesion border selection in dermoscopy images using morphology and color features.

Authors:  Nabin K Mishra; Ravneet Kaur; Reda Kasmi; Jason R Hagerty; Robert LeAnder; Ronald J Stanley; Randy H Moss; William V Stoecker
Journal:  Skin Res Technol       Date:  2019-03-14       Impact factor: 2.365

4.  Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.

Authors:  Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Jacqueline Dinnes; Naomi Chuchu; Susan E Bayliss; Clare Davenport; Rubeta N Matin; Kathie Godfrey; Colette O'Sullivan; Abha Gulati; Sue Ann Chan; Alana Durack; Susan O'Connell; Matthew D Gardiner; Jeffrey Bamber; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

5.  Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions.

Authors:  Alfonso Baldi; Raffaele Murace; Emanuele Dragonetti; Mario Manganaro; Oscar Guerra; Stefano Bizzi; Luca Galli
Journal:  Biomed Eng Online       Date:  2009-08-16       Impact factor: 2.819

6.  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.

Authors:  Kajsa Møllersen; Herbert Kirchesch; Maciel Zortea; Thomas R Schopf; Kristian Hindberg; Fred Godtliebsen
Journal:  Biomed Res Int       Date:  2015-11-26       Impact factor: 3.411

7.  Automated dermoscopy image analysis of pigmented skin lesions.

Authors:  Alfonso Baldi; Marco Quartulli; Raffaele Murace; Emanuele Dragonetti; Mario Manganaro; Oscar Guerra; Stefano Bizzi
Journal:  Cancers (Basel)       Date:  2010-03-26       Impact factor: 6.639

  7 in total

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