Review on skin cancer detection using AI

Skin Cancer Detection Using Image Processing

© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2875 Skin Cancer Detection Using Image Processing Uzma Bano Ansari1 M.E. Student, Department of Computer,TSEC,Mumbai Tanuja Sarode2 Associate Professor, Department of Computer, TSEC, Mumbai ---------------------------------------------------------------------------------------------------------------------------...

Skin Cancer Detection Using Temperature Variation Analysis

In the medical field, new technologies are incorporated for the sole purpose of enhancing the quality of life for the patients and even for the normal healthy people. Infrared technology is one of the technologies that have some applications in both the medical and biological fields. In this work, the thermal infrared (IR) measurement is used to investigate the potential of skin cancer detectio...

Skin metastases in breast cancer: a review article

Skin-Cancer Region of Interest Detection using Jensen-Shannon Divergence

.Frequent screening of suspicious skin pigmentations is of paramount importance since, at an early stage; skin cancer has a high cure rate and, in most cases, requires a simple treatment. In this paper, we present a newly methodology for early detection of skin cancer based on the used of image segmentation. This method is based on the use of the JensenShannon divergence of the histograms taken...

Detection of Melanoma Skin Cancer using Segmentation and Classification Algorithms

Melanoma is the most dangerous skin cancer. It should be diagnosed early because of its aggressiveness. To diagnose melanoma earlier, skin lesion should be segmented accurately. To reduce the cost for specialists to screen every patient, there is a need of automated melanoma prescreening system to diagnose melanoma using images acquired in digital cameras. In this frame work, an automated melan...