Literature DB >> 19782940

Dermoscopy research--an update.

Ralph P Braun1, H Rabinovitz, J E Tzu, A A Marghoob.   

Abstract

Dermoscopy increases the clinician's diagnostic accuracy by as much as 30% over that of unaided visual clinical inspection alone and has been confirmed in 3 separate evidence-based publications using a meta-analysis of the literature. It can be viewed as an in vivo bridge between clinical morphology and histopathology. This "bridge" has provided clinician researchers with many new insights into morphology and tumor biology. In this article, we provide the reader with an overview of the different aspects of dermoscopy as a research tool. We cover different aspects, such as the new equipment, new structures, the importance of blood vessels, etc.

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Year:  2009        PMID: 19782940     DOI: 10.1016/j.sder.2009.07.001

Source DB:  PubMed          Journal:  Semin Cutan Med Surg        ISSN: 1085-5629


  7 in total

1.  A lesion suspected of melanoma by dermoscopy: we must trust this diagnostic tool.

Authors:  Paula Cabral de Menezes Gurfinkel; Gabriella Campos-do-Carmo; Cleide Eiko Ishida; Juan Piñeiro-Maceira; Paulo Marcos Valiante; Marcia Ramos-E-Silva
Journal:  J Dermatol Case Rep       Date:  2013-09-30

Review 2.  Dermoscopy: not just for dermatologists.

Authors:  Xinyuan Wu; Michael A Marchetti; Ashfaq A Marghoob
Journal:  Melanoma Manag       Date:  2015-02-25

3.  Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification.

Authors:  T Y Satheesha; D Satyanarayana; M N Giri Prasad; Kashyap D Dhruve
Journal:  IEEE J Transl Eng Health Med       Date:  2017-01-16       Impact factor: 3.316

4.  Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention.

Authors:  Omar Abuzaghleh; Buket D Barkana; Miad Faezipour
Journal:  IEEE J Transl Eng Health Med       Date:  2015-04-03       Impact factor: 3.316

Review 5.  Vascular structures in dermoscopy.

Authors:  Erhan Ayhan; Derya Ucmak; ZeynepMeltem Akkurt
Journal:  An Bras Dermatol       Date:  2015 Jul-Aug       Impact factor: 1.896

6.  An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification.

Authors:  M Attique Khan; Tallha Akram; Muhammad Sharif; Aamir Shahzad; Khursheed Aurangzeb; Musaed Alhussein; Syed Irtaza Haider; Abdualziz Altamrah
Journal:  BMC Cancer       Date:  2018-06-05       Impact factor: 4.430

7.  Evaluation of Dermoscopic Patterns of Vesiculobullous Disorders.

Authors:  Namita D Narkhede; Balakrishna Nikham; Varsha Jamale; Asma Hussain; Mohan Kale
Journal:  Indian J Dermatol       Date:  2021 Jul-Aug       Impact factor: 1.494

  7 in total

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