Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Cancer is a leading causing death in the world. The liver cancer detection and diagnosis is one of the most important for prevention. Using the different segmentation methods and feature extractions the detection of liver cancer has been done. It is tedious and time consuming, because of the manual methods. This paper reviews various liver cancer detection algorithms and methodologies. The existing systems are discussed in this paper. The scope is to identify the new methodology and algorithm for the early liver cancer detection to save n-numbers of lives. Based on the accuracy and efficiency of the experiment results and comparing with other methodologies of the liver tumor detection.
"A Survey on Liver Cancer Detection ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 8, page no.181 - 184, August-2018, Available :http://www.ijrti.org/papers/IJRTI1808030.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator