Reports from Department of Computer Application Add New Data to Research in Oral Squamous Cell Carcinoma (An Ensemble Deep Learning Model for Oral Squamous Cell Carcinoma Detection Using Histopathological Image Analysis).

Předmět:	CONVOLUTIONAL neural networks SQUAMOUS cell carcinoma REPORTERS & reporting DEEP learning IMAGE analysis
Zdroj:	Clinical Oncology Week; 10/1/2024, p592-592, 1p
Abstrakt:	A recent study conducted by the Department of Computer Application focused on the use of deep learning models for the detection of oral squamous cell carcinoma (OSCC) using histopathological image analysis. The study utilized a two-phase approach, incorporating transfer learning and ensemble learning, to develop an ensemble classifier for OSCC detection. The proposed classifier was compared to other leading-edge models and demonstrated enhanced performance with an accuracy of 97.88%. This research provides valuable insights into the potential application of deep learning in the field of cancer detection. [Extracted from the article]
Databáze:	Complementary Index
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