Categories |
CANCER
DIAGNOSIS
MEDICAL IMAGING
SOFT COMPUTING
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Call for Papers |
Soft Computing is a branch of artificial computational intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to “learn” from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well suited to medical applications, especially those that depend on complex proteomic and genomic measurements. Cancer research is a field of bio-informatics, where we can use classification, clustering algorithms and so on based on soft computing techniques for better prediction and understand ability in an earlier stage. Further soft computing techniques can be used to substantially to improve the accuracy of predicting cancer susceptibility, recurrence and mortality. The purpose of this book is to invite Chapters on Review, Research, Findings, and Analysis that would help to upcoming research community covering recent advances in the therapeutic intervention of cancer using soft computing techniques. |
Credits and Sources |
[1] CDTS 2019 : Call For Book Chapter in Cancer Diagnosis and Treatment- Soft Computing Approach |