Detection of Melanoma Using Pixel Interpolation Technique - Satheesha, T. Y.
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In the past few decades, the incidence of malignant melanoma as a lethal form of skin cancer has risen considerably. Malignant melanoma is the deadliest type of skin cancer that, however, can be treated successfully, if detected early. Early intervention will lead to better survival rates. Since clinical observation of melanoma is subject to human error, early detection can be enhanced by utilizing an automated process. Although there are many developments in imaging technology like dermoscopy, they have limitations. A physician¿s diagnosis is looked upon as a primitive gateway for patients…mehr

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Produktbeschreibung
In the past few decades, the incidence of malignant melanoma as a lethal form of skin cancer has risen considerably. Malignant melanoma is the deadliest type of skin cancer that, however, can be treated successfully, if detected early. Early intervention will lead to better survival rates. Since clinical observation of melanoma is subject to human error, early detection can be enhanced by utilizing an automated process. Although there are many developments in imaging technology like dermoscopy, they have limitations. A physician¿s diagnosis is looked upon as a primitive gateway for patients from dermatology department. Since the diagnosis of melanoma is not an easy process in its early stages, the dermatologist should be trained as an expert. Moreover, since visual examination may not provide exact results, computer-based diagnosis systems are beneficial for both experts and physicians with less experience. It can be useful to take the information received by the computer into account for a final and precise decision. For this purpose, physicians need this automated system to be more reliable and accurate than what has been presented so far.
Autorenporträt
Dr. T. Y. Satheesha is presently working as an associate professor in ECE Department at Nagarjuna College of Engineering and Technology (NCET), Bangalore, Karnataka, India. He has received a doctoral degree in the year 2017 from Jawaharlal Nehru Technological University Anantapur, Andhra Pradesh, India.