Deep learning based genome analysis and NGS-RNA LL identification with a novel hybrid model
The conventional image segmentation techniques have a lot of issues with highest
computational cost and low level accuracy for medical image diagnosis and genome
analysis. The deep learning based optimization models utilize to predict the liver cancer with
RNA genome using CT images and the prediction of genome classification with NGS is a
higher probable in recent medical disease classification. This paper proposes a hybrid deep
learning technique constructs with SegNet, MultiResUNet, and Krill Herd optimization (KHO) …
computational cost and low level accuracy for medical image diagnosis and genome
analysis. The deep learning based optimization models utilize to predict the liver cancer with
RNA genome using CT images and the prediction of genome classification with NGS is a
higher probable in recent medical disease classification. This paper proposes a hybrid deep
learning technique constructs with SegNet, MultiResUNet, and Krill Herd optimization (KHO) …
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