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Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture
April 5, 2024, 4:42 a.m. | W. S. H. M. W. Ahmad, M. F. A. Fauzi, M. K. Abdullahi, Jenny T. H. Lee, N. S. A. Basry, A Yahaya, A. M. Ismail, A. Adam, Elaine W. L. Chan, F. S. Abas
cs.LG updates on arXiv.org arxiv.org
Abstract: Nasopharyngeal carcinoma (NPC) is one of the understudied yet deadliest cancers in South East Asia. In Malaysia, the prevalence is identified mainly in Sarawak, among the ethnic of Bidayuh. NPC is often late-diagnosed because it is asymptomatic at the early stage. There are several tissue representations from the nasopharynx biopsy, such as nasopharyngeal inflammation (NPI), lymphoid hyperplasia (LHP), nasopharyngeal carcinoma (NPC) and normal tissue. This paper is our first initiative to identify the difference between …
abstract architecture arxiv asia cases classification cs.cv cs.lg deep learning early stage east eess.iv stage type
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