A SYSTEM FOR THE AUTOMATIC DETECTION OF PIGMENT NETWORK

被引：0

作者：

Barata, Catarina ^{[1
]}

Marques, Jorge S. ^{[1
]}

Rozeira, Jorge ^{[2
]}

机构：

[1] Inst Super Tecn, Inst Syst & Robot, Oporto, Portugal

[2] Hosp Pedro Hispano, Matosinhos, Portugal

来源：

2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2012年

关键词：

Melanoma; Dermoscopy; Pigment Network Detection; Directional Filters; Feature Extraction; EPILUMINESCENCE MICROSCOPY; SKIN-LESIONS; DERMATOSCOPY; IMAGES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Pigment network is considered a key differential structure by dermatologists. Recently, different approaches have been proposed for the detection and characterization of this structure. This paper proposes an improved system for automatic detection of pigment network regions. The system starts by detecting the presence of pigment network using a bank of directional filters and a connected component analysis. After, a set of features, which characterize the pigment network's lines and the background, is extracted and used to validate the detected regions with AdaBoost. Finally, each lesion is classified regarding the presence or absence of pigment network The algorithm was tested in a dataset of dermoscopy images from Hospital Pedro Hispano (Matosinhos) achieving a SE = 78% and a SP = 77% for five fold cross validation.

引用

页码：1651 / 1654

页数：4

共 16 条

[1] Detection of pigment network in dermatoscopy images using texture analysis [J].

Anantha, M ;

Moss, RH ;

Stoecker, WV .

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2004, 28 (05) :225-234

[2]

[Anonymous], Dermoscopy_tutorial

[3] Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions - Comparison of the ABCD rule of dermatoscopy and a new 7-Point checklist based on pattern analysis [J].

Argenziano, G ;

Fabbrocini, G ;

Carli, P ;

De Giorgi, V ;

Sammarco, E ;

Delfino, M .

ARCHIVES OF DERMATOLOGY, 1998, 134 (12) :1563-1570

[4]

Barata C, 2011, IEEE ENG MED BIO, P5120, DOI 10.1109/IEMBS.2011.6091268

[5]

Betta G., 2006, INTERNATIONAL WORKSH

[6] Epiluminescence microscopy of small pigmented skin lesions: Short-term formal training improves the diagnostic performance of dermatologists [J].

Binder, M ;

PuespoeckSchwarz, M ;

Steiner, A ;

Kittler, H ;

Muellner, M ;

Wolff, K ;

Pehamberger, H .

JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 1997, 36 (02) :197-202

[7] Automatic detection of blue-white veil and related structures in dermoscopy images [J].

Celebi, M. Emre ;

Iyatomi, Hitoshi ;

Stoecker, William V. ;

Moss, Randy H. ;

Rabinovitz, Harold S. ;

Argenziano, Giuseppe ;

Soyer, H. Peter .

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2008, 32 (08) :670-677

[8] Histograms of oriented gradients for human detection [J].

Dalal, N ;

Triggs, B .

2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, :886-893

[9]

Fabbrocin G., 2010, Open Derm J, V4, P110, DOI DOI 10.2174/1874372201004010110

[10]

Grana C., 2006, IN ICPR 06 PROCEEDIN

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