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Computer Aided Diagnostic (CAD) tools for differentiating benign and malignant lesions are primarily of great importance. Most of the CAD tools employ a large and complex feature set. In this paper, a CAD system for classifying benign and malignant lesions using optimal feature set is proposed. The optimal feature set included the prominent color, shape and texture features. The feature set used is...
Linea nigra (LN) is a linear hyperpigmentation of skin which can appear in men developing prostate cancer. Early diagnosis of such cancer can be made by image characterization. There generally exist low contrast between LN and surrounding areas in black skin images that influences segmentation accuracy. In this paper, this problem is addressed through a multispectral analysis of RGB color images using...
The occurrence of specular illumination phenomenon in digital photography depends on the nature of the surfaces, imaging geometry and lighting conditions. In the images of Acne patients, besides relative orientation of light source and objects, and lighting conditions; oily skin, pus (white oily liquid) inside Acne Vulgaris lesions and medication applied to face, also cause specular illumination....
Features derived from Grey Level Co-occurrence Matrix (GLCM) and Grey Level Run-Length (GLRL) matrix are widely used for image characterization based on texture analysis. In this paper, we propose the application of suitably selected texture discriminating features for classification of oral cancer lesions in digital camera images into six groups. Backpropagation based Artificial Neural Network (BPANN)...
Chronic wounds, lesions, or ulcers due to venous insufficiency and other conditions typically have a nonuniform mixture of red granulation, yellow fibrin (slough), black necrotic eschar (scar), and white hyperkeratotic tissue (callous). Such a red-yellow-black-white (RYKW) model is used by clinicians as a descriptive tool. To facilitate the analysis of the tissue composition of a lesion, we propose...
We propose a computer-based e-health system in dermatology, particularly adapted for psoriasis management, in order to assist the dermatologist to objectively evaluate the severity of skin lesions and to choose the adequate treatment. The system comprises a digital color camera, a personal computer and an image processing software application. In order to assess the severity of psoriatic lesions we...
Ulcered lesions on the legs and feet caused by venous insufficiency and other conditions require long-term clinical treatment and follow-up. To facilitate the analysis of the tissue composition of a lesion, we propose color imaging and image processing methods. Methods considering the bottom tissues are proposed for the segmentation of a given image into regions corresponding to red granulation, yellow...
Color and color difference are important information for a lesion in dermatological diagnosis. This paper presents various supervised ANN models for plaque classification using RGB indices. Images are taken from selected skin at the dermatological clinic which the images are captured using digital camera with controlled environment. The analysis of dermatological digital images is performed by measurements...
During the last years, computer-vision-based diagnosis systems have been used in several hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and more specifically, the recognition of malignant melanoma tumour. In this paper, we review the state of the art in such systems by first presenting the installation, the visual features used for skin lesion classification,...
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