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Automated Epiluminescence Microscopy: Human vs Machine in the Diagnosis of Melanoma

Automated Epiluminescence Microscopy: Human vs Machine in the Diagnosis of Melanoma EDITORIAL Automated Epiluminescence Microscopy: Human vs Machine in the Diagnosis of Melanoma IL EPILUMINESCENCE microscopy (ELM), the melanomas selected were very thin, and, with the surface microscopy, dermatoscopy, and use of nonlinear classification procedures on a larger dermoscopy all refer to the same pro- data set, a more robust model may be expected. cess of examination of cutaneous le- Schindewolf et al examined digitized ELM slides O sions with an incident light magnifica- of 194 melanomas and 126 melanocytic nevi. The me- tion system with oil at the skin-microscope interface. This dian Breslow thickness or number of dysplastic nevi was technique greatly increases the morphological detail that not given. A cross-validated model gave a correct clas- is visualized, which results in an improvement in the di- sification rate of 78%. The sensitivity and specificity rates agnostic accuracy of most pigmented skin tumors, in- were not given. Their ELM model was not superior to a 1-7 cluding melanoma. Well-defined ELM methods for the model of the same lesions analyzed with digitized con- diagnosis of melanoma that are suitable for inexperi- ventional photographic slides. Binder et al examined 5,8,9 enced clinicians have been developed, and detailed at- digitized ELM 35-mm slides http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Dermatology American Medical Association

Automated Epiluminescence Microscopy: Human vs Machine in the Diagnosis of Melanoma

JAMA Dermatology , Volume 135 (12) – Dec 1, 1999

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Publisher
American Medical Association
Copyright
Copyright 1999 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
2168-6068
eISSN
2168-6084
DOI
10.1001/archderm.135.12.1538
Publisher site
See Article on Publisher Site

Abstract

EDITORIAL Automated Epiluminescence Microscopy: Human vs Machine in the Diagnosis of Melanoma IL EPILUMINESCENCE microscopy (ELM), the melanomas selected were very thin, and, with the surface microscopy, dermatoscopy, and use of nonlinear classification procedures on a larger dermoscopy all refer to the same pro- data set, a more robust model may be expected. cess of examination of cutaneous le- Schindewolf et al examined digitized ELM slides O sions with an incident light magnifica- of 194 melanomas and 126 melanocytic nevi. The me- tion system with oil at the skin-microscope interface. This dian Breslow thickness or number of dysplastic nevi was technique greatly increases the morphological detail that not given. A cross-validated model gave a correct clas- is visualized, which results in an improvement in the di- sification rate of 78%. The sensitivity and specificity rates agnostic accuracy of most pigmented skin tumors, in- were not given. Their ELM model was not superior to a 1-7 cluding melanoma. Well-defined ELM methods for the model of the same lesions analyzed with digitized con- diagnosis of melanoma that are suitable for inexperi- ventional photographic slides. Binder et al examined 5,8,9 enced clinicians have been developed, and detailed at- digitized ELM 35-mm slides

Journal

JAMA DermatologyAmerican Medical Association

Published: Dec 1, 1999

References