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Dermoscopy: alternative melanocytic algorithms-the ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist.

作者信息

Johr Robert H

机构信息

Department of Dermatology, University of Miami School of Medicine, Miami, Florida 33486, USA.

出版信息

Clin Dermatol. 2002 May-Jun;20(3):240-7. doi: 10.1016/s0738-081x(02)00236-5.

DOI:10.1016/s0738-081x(02)00236-5

PMID:12074859

Abstract

摘要

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Dermoscopy: alternative melanocytic algorithms-the ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist.

作者信息

Johr Robert H

机构信息

Department of Dermatology, University of Miami School of Medicine, Miami, Florida 33486, USA.

出版信息

Clin Dermatol. 2002 May-Jun;20(3):240-7. doi: 10.1016/s0738-081x(02)00236-5.

DOI:10.1016/s0738-081x(02)00236-5

PMID:12074859

Abstract

摘要

相似文献

Dermoscopy: alternative melanocytic algorithms-the ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist.

Clin Dermatol. 2002 May-Jun;20(3):240-7. doi: 10.1016/s0738-081x(02)00236-5.

Dermatoscopy for melanoma and pigmented lesions.

Dermatol Clin. 2012 Jul;30(3):413-34. doi: 10.1016/j.det.2012.04.005.

Comparative performance of 4 dermoscopic algorithms by nonexperts for the diagnosis of melanocytic lesions.

Arch Dermatol. 2005 Aug;141(8):1008-14. doi: 10.1001/archderm.141.8.1008.

Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.

Acta Dermatovenerol Croat. 2018 Apr;26(1):64-67.

Dermoscopy for acral pigmented skin lesions.

Clin Dermatol. 2002 May-Jun;20(3):279-85. doi: 10.1016/s0738-081x(02)00219-5.

The ABCD rule of dermatoscopy. High prospective value in the diagnosis of doubtful melanocytic skin lesions.

J Am Acad Dermatol. 1994 Apr;30(4):551-9. doi: 10.1016/s0190-9622(94)70061-3.

Limitations of dermoscopy in the recognition of melanoma.

Arch Dermatol. 2005 Feb;141(2):155-60. doi: 10.1001/archderm.141.2.155.

Pattern analysis: a two-step procedure for the dermoscopic diagnosis of melanoma.

Clin Dermatol. 2002 May-Jun;20(3):236-9. doi: 10.1016/s0738-081x(02)00216-x.

Biopsy of the pigmented lesion--when and how.

J Am Acad Dermatol. 2008 Nov;59(5):852-71. doi: 10.1016/j.jaad.2008.05.027. Epub 2008 Aug 30.

Principles of dermatoscopy of pigmented skin lesions.

Semin Cutan Med Surg. 2003 Mar;22(1):9-20. doi: 10.1053/sder.2003.50001.

引用本文的文献

Skin Photodamage and Melanomagenesis: A Comprehensive Review.

Cancers (Basel). 2025 May 26;17(11):1784. doi: 10.3390/cancers17111784.

Dermoscopy Education for Plastic Surgery Residents: How a Brief Theoretical Course and Practical Training Have an Impact.

Plast Reconstr Surg Glob Open. 2024 Jul 10;12(7):e5970. doi: 10.1097/GOX.0000000000005970. eCollection 2024 Jul.

BCN20000: Dermoscopic Lesions in the Wild.

Sci Data. 2024 Jun 17;11(1):641. doi: 10.1038/s41597-024-03387-w.

The effect of hair removal and filtering on melanoma detection: a comparative deep learning study with AlexNet CNN.

PeerJ Comput Sci. 2024 Apr 16;10:e1953. doi: 10.7717/peerj-cs.1953. eCollection 2024.

A Review of Recent Advances in Computer-Aided Detection Methods Using Hyperspectral Imaging Engineering to Detect Skin Cancer.

Cancers (Basel). 2023 Nov 29;15(23):5634. doi: 10.3390/cancers15235634.

The Study of Usefulness of a Set of Fractal Parameters to Build Classes of Disease Units Based on Images of Pigmented Skin Lesions.

Diagnostics (Basel). 2021 Sep 26;11(10):1773. doi: 10.3390/diagnostics11101773.

What is new in computer vision and artificial intelligence in medical image analysis applications.

Quant Imaging Med Surg. 2021 Aug;11(8):3830-3853. doi: 10.21037/qims-20-1151.

The Possibility of Deep Learning-Based, Computer-Aided Skin Tumor Classifiers.

Front Med (Lausanne). 2019 Aug 27;6:191. doi: 10.3389/fmed.2019.00191. eCollection 2019.

Cancer Diagnosis Using Deep Learning: A Bibliographic Review.

Cancers (Basel). 2019 Aug 23;11(9):1235. doi: 10.3390/cancers11091235.

Resolution invariant wavelet features of melanoma studied by SVM classifiers.

PLoS One. 2019 Feb 6;14(2):e0211318. doi: 10.1371/journal.pone.0211318. eCollection 2019.