Citation

Kabiru, Abdullahi and Ramakrishnan, Kannan and Yap, Timothy Tzen Vun (2022) Deep Neural Network Techniques for Lung Cancer Prognosis and Diagnosis. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Cancer is one of the complicated disease and a leading cause of death [1], accounting for about 10 million deaths in 2021 [2,3]. Lung cancer has the highest mortality rate among the group of cancers with an average death rate of about 1.80 million annually [3]. Lung cancer treatment is time consuming and costly. As such, if the symptoms of the disease appear late, it may impact the prognosis in a negative manner, resulting in non-curable status [3].

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Neural networks (Computer science)
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	16 Dec 2022 02:42
Last Modified:	16 Dec 2022 02:42
URII:	http://shdl.mmu.edu.my/id/eprint/10892

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