Discrimination of squamous cell carcinoma in situ from seborrheic keratosis by color analysis techniques requires information from scale, scale-crust and surrounding areas in dermoscopy images
| Autor: | Ryan K. Rader, Robert W. LeAnder, Sherea M. Stricklin, J. Hagerty, William V. Stoecker, N. M. Shakya, K. A. Hinton |
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| Rok vydání: | 2011 |
| Předmět: |
Seborrheic keratosis
Pathology medicine.medical_specialty Skin Neoplasms Keratosis Databases Factual Hyperkeratosis Health Informatics Dermoscopy Diagnosis Differential medicine Image Processing Computer-Assisted Humans skin and connective tissue diseases Parakeratosis Keratosis Seborrheic Bowen's disease integumentary system business.industry food and beverages Color analysis medicine.disease Dermatology Computer Science Applications Logistic Models ROC Curve Feature (computer vision) Area Under Curve Carcinoma Squamous Cell Keratins Skin cancer medicine.symptom business |
| Zdroj: | Computers in biology and medicine. 42(12) |
| ISSN: | 1879-0534 |
| Popis: | Scale-crust, also termed ''keratin crust'', appears as yellowish-to-tan scale on the skin's surface. It is caused by hyperkeratosis and parakeratosis in inflamed areas of squamous cell carcinoma in situ (SCCIS, Bowen's disease) and is a critical dermoscopy feature for detecting this skin cancer. In contrast, scale appears as a white-to-ivory detaching layer of the skin, without crust, and is most commonly seen in benign lesions such as seborrheic keratoses (SK). Distinguishing scale-crust from ordinary scale in digital dermoscopy images holds promise for early SCCIS detection and differentiation from SK. Reported here are image analysis techniques that best characterize scale-crust in SCCIS and scale in SK, thereby allowing accurate separation of these two dermoscopic features. Classification using a logistic regression operating on color features extracted from these digital dermoscopy structures can reliably separate SCCIS from SK. |
| Databáze: | OpenAIRE |
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