Decision Support System Analysis for Malignant Melanoma Detection

Abstract

One of the most deadly dangerous disease is cancer which is among human beings. Skin cancer is of different types that is found recently among humans. Melanoma is one such type of skin cancer which causes majority of death rate. Biopsy method leads to conventional clinical diagnosis for detection of melanoma. The study in this paper presents different benchmarking techniques for melanoma prediction and evaluation. The main challenge is detection of malignant melanoma, which is found to have asymmetrical, irregular borders, notched edges and colour variations. The various stages of skin cancer prediction were analyzed in this paper. A detailed study on various techniques of medical image processing as applied to melanoma images for past years which need the more attention which is discussed here. The techniques and methods that exit are helpful in each of these process are evaluated and summarized. The paper aims at presenting an analysis on to identify on investigation efforts required to group and classify the sub categories available in the literature and to provide a summary of all the available methods for identification of melanoma cancer.

Impact of Chromium Doping on Structural, Optical, Magnetic and Electrical Properties of Nano-Copper Ferrite

“…All detectable peaks are indexed as tetragonal CuFe 2 O 4 with an inverse spinel structure, as shown in standard data (PDF: 340425) with no impurity peaks corresponding to any other phase. Same behavior has been obtained with A. S. Padampalle et al [18][19][20]. In general, the crystal structure of CuFe 2 O 4 can be either cubic or tetragonal depending on the concentration of Cu ions occupying octahedral sites and the preparation method.…”