TY - GEN
T1 - Fourth Industrial Revolution
T2 - AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
AU - Jayanthi, Prisilla
AU - Iyyanki, Muralikrishna
AU - Mothkuri, Aruna
AU - Vadakattu, Prakruthi
PY - 2020/1/1
Y1 - 2020/1/1
N2 - The World Economic Forum annual meeting, held in Davos, Switzerland, emphasized the Fourth Industrial Revolution as one of the most cutting-edge innovative techniques to be seen in the forthcoming era. This has a greater impact on the future of production and the role of government, business and academia in all developing technologies and innovation where industries, communication and technologies meet. The fourth industrial revolution combines the physical, digital, and biological spaces and is changing the healthcare industry. The FCN-32 semantic segmentation was performed on the brain tumor images which produced better results for identifying the tumors as ground truths and predicted images was achieved. The best calculated loss = 0.0108 and accuracy = 0.9964 for the given tumor images was achieved. The earlier detecting and analysis of any disease can help diagnosing and treatment in better means through artificial intelligence techniques. The healthcare industry can serve better with faster and quality services to remote, rural and unreachable areas and thereafter reduces the cost of hospitalization.
AB - The World Economic Forum annual meeting, held in Davos, Switzerland, emphasized the Fourth Industrial Revolution as one of the most cutting-edge innovative techniques to be seen in the forthcoming era. This has a greater impact on the future of production and the role of government, business and academia in all developing technologies and innovation where industries, communication and technologies meet. The fourth industrial revolution combines the physical, digital, and biological spaces and is changing the healthcare industry. The FCN-32 semantic segmentation was performed on the brain tumor images which produced better results for identifying the tumors as ground truths and predicted images was achieved. The best calculated loss = 0.0108 and accuracy = 0.9964 for the given tumor images was achieved. The earlier detecting and analysis of any disease can help diagnosing and treatment in better means through artificial intelligence techniques. The healthcare industry can serve better with faster and quality services to remote, rural and unreachable areas and thereafter reduces the cost of hospitalization.
UR - http://www.scopus.com/inward/record.url?scp=85067656640&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067656640&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-20454-9_6
DO - 10.1007/978-3-030-20454-9_6
M3 - Conference contribution
AN - SCOPUS:85067656640
SN - 9783030204532
T3 - Advances in Intelligent Systems and Computing
SP - 58
EP - 69
BT - Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
A2 - Ahram, Tareq
PB - Springer Verlag
Y2 - 24 July 2019 through 28 July 2019
ER -
