Gliomas are often difficult to find and distinguish using typical manual segmentation approaches because of their vast range of changes in size, shape, and appearance. Furthermore, the manual annotation of cancer tissue segmentation under the close supervision of a human professional is both time-consuming and exhausting to perform. It will be easier and faster in the future to get accurate and quick diagnoses and treatments thanks to automated segmentation and survival rate prediction models that can be used now. In this article, a segmentation model is designed using RCNN that enables automatic prognosis on brain tumors using MRI. The study adopts a U-Net encoder for capturing the features during the training of the model. The feature extraction extracts geometric features for the estimation of tumor size. It is seen that the shape, location, and size of a tumor are significant factors in the estimation of prognosis. The experimental methods are conducted to test the efficacy of the model, and the results of the simulation show that the proposed method achieves a reduced error rate with increased accuracy than other methods.

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A novel signaling technique for on-chip carbon nanotube interconnect aiming a higher bitrate in the range of Terahertz (THz) with low power dissipation, employing the current mode signal transportation is proposed in this paper. The technique exploits the combined advantages of current mode signaling and carbon nanotube. Using the equivalent circuit model, the transfer function is derived for the current mode carbon nanotube interconnect. Current mode signaling through carbon nanotube interconnect is simulated in MATLAB and HSPICE to study its efficiency and performance. The results are compared with the existing voltage mode CNT, current mode copper and optical interconnect. The proposed current mode signaling for carbon nanotube interconnect achieves 102 times lesser power delay product and 90% lesser delay than voltage mode. It exhibits lesser delay, 1000 times in local and 1.2 times in global and lesser power delay product by the factor of 1000 as compared with optical interconnect.