A Deformable Model to Segment Skin Lesions on Dermoscopic Images
نویسندگان
چکیده
Zhen Ma1 and João Manuel R. S. Tavares2 1 Instituto de Engenharia Mecânica e Gestão Industrial, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal, Rua Dr. Roberto Frias, s/n 4200-465, Porto, Portugal, [email protected] 2 Instituto de Engenharia Mecânica e Gestão Industrial, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal, Rua Dr. Roberto Frias, s/n 4200-465, Porto, Portugal, [email protected]
منابع مشابه
Microsoft Word - manuscript_clean.docx
Dermoscopy is an imaging technique that has been widely used in the diagnosis of skin lesions. However, its accuracy largely depends on the dermatologist’s experience; thus, computer-aided diagnosis techniques are required. In this paper, a novel approach based on a deformable model is proposed to handle the segmentation of skin lesions in dermoscopic images. The RGB color space is converted so...
متن کاملA New Algorithm for Skin Lesion Border Detection in Dermoscopy Images
Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...
متن کاملPattern Recognition in Macroscopic and Dermoscopic Images for Skin Lesion Diagnosis
Pattern recognition in macroscopic and dermoscopic images is a challenging task in skin lesion diagnosis. The search for better performing classification has been a relevant issue for pattern recognition in images. Hence, this work was particularly focused on skin lesion pattern recognition, especially in macroscopic and dermoscopic images. For the pattern recognition in macroscopic images, a c...
متن کاملMulti-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced treatment. Due to the rapid growth of skin cancers, there is a growing need of computerized analysis for skin lesions. These processes including detection, classification, and segmentation. There are three main types of skin lesions in common that are benign nevi, melanoma, and seborrhoeic keratoses which have ...
متن کاملA Study on Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Malignant Melanoma is one of the rare and the deadliest form of skin cancer if left untreated. Death rate due to this cancer is three times more than all other skin-related malignancies combined. Incidence rates of melanoma have been increasing, especially among young adults, but survival rates are high if detected early. There is a need for an automated system to assess a patient’s risk of mel...
متن کامل