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| Title: | Detection of pigment network in dermatoscopy images using texture analysis |
| Author (s): | Anantha, Murali Stoecker, William V. Moss, Randy Hays |
| Department/Lab Affiliations: | Electrical and Computer Engineering Image Processing Laboratory |
| Keywords: | Dermatoscopy Energy masks Image analysis Melanoma Pigment network Texture |
| Issue Date: | 2004 |
| Publisher: | BioMed Central |
| Citation: | A. Murali, R. H. Moss, W. V. Stoecker. "Detection of Pigment Network in Dermatoscopy Images Using Texture Analysis", Computerized Medical Imaging and Graphics, Vol. 28, 2004, pp. 94-104, 2004. |
| Abstract: | Dermatoscopy, also known as dermoscopy or epiluminescence microscopy (ELM), is a non-invasive, in vivo technique, which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. ELM offers a completely new range of visual features. One such prominent feature is the pigment network. Two texture-based algorithms are developed for the detection of pigment network. These methods are applicable to various texture patterns in dermatoscopy images, including patterns that lack fine lines such as cobblestone, follicular, or thickened network patterns. Two texture algorithms, Laws energy masks and the neighborhood gray-level dependence matrix (NGLDM) large number emphasis, were optimized on a set of 155 dermatoscopy images and compared. Results suggest superiority of Laws energy masks for pigment network detection in dermatoscopy images. For both methods, a texel width of 10 pixels or approximately 0.22 mm is found for dermatoscopy images. |
| Type: | Article - Journal text |
| In Title: | Computerized Medical Imaging and Graphics |
| Copyright Notice: | Pre-print: author can archive; Post-print: author can archive; This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
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| title | Detection of pigment network in dermatoscopy images using texture analysis |
| contributor.author | Anantha, Murali |
| contributor.author | Stoecker, William V. |
| contributor.author | Moss, Randy Hays |
| contributor.deptlab | Electrical and Computer Engineering |
| contributor.deptlab | Image Processing Laboratory |
| contributor.sponsor | National Institute of Health |
| subject | Dermatoscopy |
| subject | Energy masks |
| subject | Image analysis |
| subject | Melanoma |
| subject | Pigment network |
| subject | Texture |
| date.issued | 2004 |
| publisher | BioMed Central |
| identifier.citation | A. Murali, R. H. Moss, W. V. Stoecker. "Detection of Pigment Network in Dermatoscopy Images Using Texture Analysis", Computerized Medical Imaging and Graphics, Vol. 28, 2004, pp. 94-104, 2004. |
| identifier.pub.URI | |
| description.abstract | Dermatoscopy, also known as dermoscopy or epiluminescence microscopy (ELM), is a non-invasive, in vivo technique, which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. ELM offers a completely new range of visual features. One such prominent feature is the pigment network. Two texture-based algorithms are developed for the detection of pigment network. These methods are applicable to various texture patterns in dermatoscopy images, including patterns that lack fine lines such as cobblestone, follicular, or thickened network patterns. Two texture algorithms, Laws energy masks and the neighborhood gray-level dependence matrix (NGLDM) large number emphasis, were optimized on a set of 155 dermatoscopy images and compared. Results suggest superiority of Laws energy masks for pigment network detection in dermatoscopy images. For both methods, a texel width of 10 pixels or approximately 0.22 mm is found for dermatoscopy images. |
| type | Article - Journal |
| type.DCMIType | text |
| type.status | Postprint |
| rights | Pre-print: author can archive; Post-print: author can archive; |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| relation.isPartOf | Computerized Medical Imaging and Graphics |
| date.available | 2008-07-08T13:31:41Z |
| identifier.persist.URI |