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Design of a teledermatology system to support the consultation of dermoscopic cases using mobile technologies and cloud platform

Jaworek-Korjakowska J., Tadeusiewicz R.

Bio-Algorithms and Med-Systems

2015

Vol. 11, no. 1

53--58

Skin cancer is the most commonly diagnosed type of cancer in humans regardless of age, gender, or race. One of the most common malignant skin cancers is melanoma, which is a dangerous proliferation of melanocytes. In the last several years, an increasing melanoma incidence has been observed worldwide, and the incidence rate is increasing faster than those of any other skin cancer. The correct identification and diagnosis of moles still creates problems to inexperienced dermatologists and family physicians. In this paper, we present a new approach to the problem of assessing difficult cases in dermatology. We propose a teledermatology system to support the consultation process between family physicians and experts in the field of dermoscopic images. The system consists of a desktop monitoring application and a special smartphone application implemented for experts. If necessary, the physician can send the dermoscopic image to two dermatologists for further examination. This cloud-based architecture provides an interesting system for a fast and efficient exchange of dermatological information. Initial results and assessment of doctors are promising and indicate that the application can be used as a decision support system for dermoscopic images.

Hair removal from dermoscopic color images

Jaworek-Korjakowska J., Tadeusiewicz R.

Bio-Algorithms and Med-Systems

2013

Vol. 9, no. 2

53--58

Skin cancer is the most commonly diagnosed type of cancer in people, regardless of age, gender, or race. One of the most common malignant skin cancers is melanoma, which is a dangerous proliferation of melanocytes. It is a well-known fact that early diagnosis of skin cancer is crucial and allows for successful treatment. Treatment of melanoma is not effective when melanoma is at an advanced stage. A widely used tool for the examination of skin lesions is a dermatoscope, which uses optic magnification to visualize features that are invisible to the naked eye. For a precise and objective diagnosis, there is a need for a computerized method for the removal and inpainting of hairs in image processing. In this study, we present an algorithm for the detection and inpainting of hairs in color dermoscopic images.