Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models

Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models

In vivo diseases such as colorectal cancer and gastric cancer are increasingly occurring in humans. These are two of the most common types of cancer that cause death worldwide. Therefore, the early detection and treatment of these types of cancer are crucial for saving lives. With the advances in te...

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Bibliographic Details
Main Authors: Dat Tien Nguyen, Min Beom Lee, Tuyen Danh Pham, Ganbayar Batchuluun, Muhammad Arsalan, Kang Ryoung Park
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
pathological site classification
in vivo endoscopy
computer-aided diagnosis
artificial intelligence
ensemble learning
Online Access:https://www.mdpi.com/1424-8220/20/21/5982

Internet

https://www.mdpi.com/1424-8220/20/21/5982

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