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.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2021/10.11.1054