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This article has discussed the difficulties in distinguishing liver tumors from computed tomography images. as low As well as the liver tumor image being complex and variable in terms of size, shape, and location, there is little contrast and blurring of the boundary between liver tumors and healthy tissues in Cs. We have covered the process of diagnosing lung cancer in this paper because the condition can produce a wide range of symptoms. However, these symptoms are typically brought on by benign tumors or other issues rather than cancer. In the absence of earlier detection of malignant nodules, survival rates significantly rise. Artificial intelligence has enabled radiology specialists to offer much more value to their patients. Our reporting and workflow can be greatly enhanced by incorporating data from artificial intelligence algorithms. Incorporating data from artificial intelligence algorithms can significantly improve our reporting and workflow. Although AI for imaging will not be available all at once, practices that use it now will be well-positioned to lead the way in healthcare in the future. This paper highlights the list of radiologist sensors that are used with radiologist systems. We discussed the methods Deep Learning Neural Networks (CNN) [1] use to diagnose and treat liver disease in Section 2.0. In Section 4.0, we have concluded results by applying quantitative evaluation, mean surface distance (MSD), and Hausdorff distance (HD).

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The implementations of GPS trackers are the major source of getting latitude and longitude values in automobile tracking solutions. But such trackers lose their worth when the automobile, in which they are installed, reaches a location where the GPS data is improperly received or not received at all. Such vulnerable locations include underpasses, tunnels and underground parking lots. A system design, which can be used to circumvent the aforementioned problem in association with conventional GPS tracker devices, is described in this paper. The design incorporates a MEMS accelerometer to obtain acceleration readings and a microcontroller to convert the measured acceleration into displacement by the means of efficient DSP algorithms.