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Titlebook: Artificial Intelligence on Medical Data; Proceedings of Inter Mousumi Gupta,Sujata Ghatak,Abir Lal Mukherjee Conference proceedings 2023 Th

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Ping Chu,Jan Albert (Bob) Mulder,Jan Breemane cells poses a bottle-neck in the research of cancer cure as it is an extremely tedious job to manually isolate these from the rest of the cells in the tissue. Hence, the automation of this process using deep learning (DL)-based object detection and segmentation techniques such as Mask R-CNN will a
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https://doi.org/10.1007/978-3-642-12767-0y, treatment, or predict end results. The accuracy of the image obtained from various medical imaging modalities has a significant impact on successful diagnosis of a disease, as image fusion provides supplementary valuable information. Complete and accurate information cannot be acquired from singl
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Fault diagnosis of machine toolsis useful to automate certain kinds of jobs to improve efficiency, but also it also takes away the scope of human errors that are ever-present within such fields. A multitude of factors like differences in skills, experience, and more critically, basic human errors contributes to inadequacy and ther
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Fault diagnosis of machine toolsically verified samples utilizing the laboratory molecular testing performs (1100 Covid-19 positive and 1100 Covid-19 negative). The clinical labels were applied to the results, and severity of the samples may be judged based on quantitative RT-PCR (qRT-PCR), cycle threshold, and patient lymphocyte
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