RESUMO
Aim: Colon is one of the major constituent of the large intestine; occurrence of cancer in it is one of the burning issues that remain unresolved. A large number of people get died every year in this problem. Study Design: In the field of medical image processing the detection of Colon cancer is a big challenge. So far, many research works are proposed, however, no research and investigations are found to bring up the best technique to assess the disease. Place and Duration of Study: Several strategies, in view of the spatial analysis of colon biopsy images, and serum and gene analysis of colon samples, have been proposed in such manner. Methods: Quick advancement of colon cancer detection methods, are yet to be analyzed by the help of this particular work which ensures to coming up with best strategies. Results: In this review, we arrange the procedures on the premise of the adopted system and basic data set, and give a detailed description of methods in every category. Also, this study gives a far extensive examination of different colon cancer detection categories, and of multiple procedures inside every category. Conclusions: Further, the majority of the procedures have been assessed on comparative data set to give a reasonable performance correlation. Ultimately this review can helpful for the researches to proceed their research in the field of colon cancer detection.
RESUMO
Aims: The main objective of this paper is to review the technologies used for the detection of Hepatocellular Carcinoma. Study Design: Convective cooling protects the cancer cells from thermal destruction and decreases the necrosed volume. A major objective of the method development is to achieve a virtually complete necrosis of tumors close to major blood vessels and to avoid blood vessel damage and, hence, the needed treatment planning. Place and Duration of Study: We found from this three-dimensional three-field coupling study that in large blood vessels, both convective cooling and acoustic streaming may change the temperature considerably near the blood vessel. Acoustic streaming velocity magnitude can be several times larger than the blood vessel velocity. Methodology: Different methods and techniques were proposed so far in the automatic detection of Hepatocellular Carcinoma. However the performance of the technologies till now not completely matched to the performance of human expert. Results: This review paper have analyzed the recent technologies in Liver Cancer Identification (24%), Liver Tumor Risks (16%), MR Imaging (22%), Liver Tumor Prevention (16%) and Liver Tumor Therapy (18%). The results presented in the current work can be further used to construct a surgical planning platform. Conclusions: Also we give some directions about the technologies and this can be useful for the researches to develop a new technology for the detection of Hepatocellular Carcinoma.