AbstractThe increasing use of Smartphone and Tablet, their on-board sensors and increasing computational power show immense promise for improved mobile health technologies, one of the medical areas which needs this technologies is skin analysis to identify diseases. In this paper, we describe an innovative development of a low cost smartphone based intelligent system using integrated camera. The advantage of this solution is that patients in remote areas, poor and developing countries can scan, analyze and make regular skin examinations in any place. In this paper, an Artificial Neural Network algorithm is used to analyze the skin images to identify cancer
Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical ...
Melanoma is a type of skin cancer, one of the fatal diseases that appear as an abnormal growth of sk...
We have developed a mobile device for the optical analysis of problem areas of the skin to detect ca...
In this paper, we propose a mobile system for aiding doctors in skin cancer diagnosis and other pers...
Skin disease recognition is one of the essential topics in the medical industry. Detecting skin dise...
One of the greatest challenges in dermatology today is the early detection of melanoma since the suc...
Melanoma is considered the deadliest skin cancer and when it is in an advanced state it is difficult...
The wide spreading of the new generation of smartphones, with significant improvements in terms of i...
The wide spreading of the new generation of smartphones, with significant improvements in terms of i...
Among the different types of skin cancer, melanoma is considered to be the deadliest and is difficul...
A mobile phone based telemedicine study is developed to see how feasible phone usage is in selected...
Nowadays, skin cancer is considered one of the most common malignancies in the Caucasian population,...
As cancer rates continue to increase, new adjunctive tools are needed to augment the skills of clini...
This paper presents a smart phone based system for storing digital images of skin areas depicting re...
Background. Malignant melanoma is among the fastest increasing malignancies in many countries. With ...
Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical ...
Melanoma is a type of skin cancer, one of the fatal diseases that appear as an abnormal growth of sk...
We have developed a mobile device for the optical analysis of problem areas of the skin to detect ca...
In this paper, we propose a mobile system for aiding doctors in skin cancer diagnosis and other pers...
Skin disease recognition is one of the essential topics in the medical industry. Detecting skin dise...
One of the greatest challenges in dermatology today is the early detection of melanoma since the suc...
Melanoma is considered the deadliest skin cancer and when it is in an advanced state it is difficult...
The wide spreading of the new generation of smartphones, with significant improvements in terms of i...
The wide spreading of the new generation of smartphones, with significant improvements in terms of i...
Among the different types of skin cancer, melanoma is considered to be the deadliest and is difficul...
A mobile phone based telemedicine study is developed to see how feasible phone usage is in selected...
Nowadays, skin cancer is considered one of the most common malignancies in the Caucasian population,...
As cancer rates continue to increase, new adjunctive tools are needed to augment the skills of clini...
This paper presents a smart phone based system for storing digital images of skin areas depicting re...
Background. Malignant melanoma is among the fastest increasing malignancies in many countries. With ...
Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical ...
Melanoma is a type of skin cancer, one of the fatal diseases that appear as an abnormal growth of sk...
We have developed a mobile device for the optical analysis of problem areas of the skin to detect ca...