DEEP LEARNING FOR BIG DATA AND ITS APPLICATIONS INCLUDING CLINICAL IMAGE PROCESSING USING CNN APPROACH
Authors: Thanga Ramya .S , PRAVEENA.D, KAPOOR.R, SARITHA. M, SHARANYAA.S AND KANNADASAN B

ABSTRACT
Numerous technological innovations in the field of Computer Science have recently happened. Prisma and Deep Art were two interesting web services that turn your images into pieces of art as in fashions of legendary masterpieces. Autonomous robots, breakthroughs in Clinical Image Processing, such as the ability to interpret MRIs or CT scans faster but more correctly than oncologists, or the ability to identify the deadly disease and with less aggressive treatment were on the horizon. There were also advancements in self-driving automobile functionality. Driverless vehicles can employ detectors and integrated intelligence to learn to appreciate traffic lights or barriers and quickly respond to them. Before 2012, Google was working on two AI programmers. However, it works on over 1000 programs. Keywords: Huge data; CNN; deep learning; Artificial Intelligence
Publication date: 01/11/2021
    https://ijbpas.com/pdf/2021/November/MS_IJBPAS_2021_NOV_SPCL1054.pdf
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https://doi.org/10.31032/IJBPAS/2021/10.11.1054